2019 European Sample Management Symposium

The SLAS 2019 European Sample Management Symposium course package contains 16 PowerPoint PDFs including:

15 PowerPoints from four sessions 
Working in Partnership
Pursuit of Quality
Sample Operations, Case Studies
Innovation in Sample Management
1 keynote speaker PowerPoint

PowerPoints included in this course package are listed below. 

The SLAS European Sample Management Program Committee selects conference speakers based on the innovation, relevance and applicability of research as well as those that best address the interests and priorities of today’s life sciences discovery and technology community. All PowerPoints are published with the permission of the presenters. Based on presenter permission, 16 of the 21 total SLAS 2019 European Sample Management Symposium PowerPoint are available on-demand.

Dan Addison, Ph.D.

Senior Scientist

AstraZeneca

I am a computer scientist with over 10 years industrial experience working in a global Sample Management function to support and improve a wide range of operational processes and to help shape long-term strategy. My areas of interest are applying informatics, software development and machine learning approaches to data interrogation. I have a passion for leveraging data to provide insights and knowledge that can support strategic decision-making and drive performance.

Mark Doerr

U. T. Bornscheuer, Institute of Biochemistry, University Greifswald

Mark Dörr studied Chemistry and Biology at the University Mainz und Jena (Germany) and made his Dr. of natural sciences in Jena, 2004.

Followed by a six years research stay in Denmark. In 2012 he was offered a position as a staff for the medium-sized high-throughput platform LARA of the Institute of Biochemistry, University Greifswald ([DOERR2016], lara.uni-greifswald.de).

Since then he is responsible for the running the platform, planning the experiments (biochemical assay development, screening strategies), process opimisation, programming and data evaluation. He is developer of the LARAsuite (gitlab.com/LARAsuite), a free and open source lab automation software and is member of the SiLA2 core development team.

Chatura Jayakody

Manager, Research Operations

Accent Therapeutics

Chatura Jayakody, heads the research operations and sample management group at Accent Therapeutics. A graduate from Clark University in Worcester, Massachusetts, USA, Chatura started his career at the Center for Integrative Chemical Biology and Drug Discovery at the University of Chapel Hill (UNC), North Carolina. At UNC his primary focus was on sample management and assay development managing a compound collection with over 100,000 small molecules and working with various groups across the UNC system. His next appointment was at Warp Drive Bio in Cambridge, Massachusetts where he helped build the sample management group and led the outsourcing of assay operations to CROs in Asia. Accent Therapeutics presented him with a new opportunity to build informatics and sample management infrastructure to suit a small biotech where he now heads research operations.

Mark Wigglesworth

Director, Hit Discovery

AstraZeneca

Mark Wigglesworth, Ph.D., leads The UK Centre for Lead Discovery on behalf of AstraZeneca. Mark has contributed to numerous publications in the field of receptor pharmacology, hit identification and compound management, including editing the book, Management of Biological and Chemical Samples for Screening Applications. He has led several academic collaborations as well as building successful organisations in sample management and hit identification in two large pharmaceutical companies.

Mark is an active conference supporter having held co-director responsibility for the European Laboratory Research and Innovation Groups (ELRIG), Research and Innovation conference for 4 years, and has delivered high-profile presentations at conferences such as SLAS. Throughout his career, he has maintained an active interest in technology and how automation can be utilised in a pharmaceutical environment.

Ian Sinclair, Ph.D.

Associate Principal Scientist

AstraZeneca

Ian Sinclair joined AstraZeneca in 1999 as a MS Support specialist, in 2007 Ian joined Compound Management to add his knowledge to the challenge of quality assurance within the group. He has published on the use of Corona CAD for the measurement sample concentration and devised strategies to improve quality within large compound collections. More recently this background in mass spectrometry has led him into the bio-chemical screening environment where the idea for an acoustic MS interface first surfaced. He has spent the last two years working with Labcyte and Waters to develop this technology and its applications.

Rebecca Wiesner, Ph.D.

Candidate

Technical University of Braunschweig

Rebecca Wiesner studied Pharmacy at the Technische Universität Braunschweig from 2011 to 2015, meanwhile, she completed a two-month research internship at the University of Rhode Island (USA). Afterwards, she worked for two years as a pharmacist in Berlin.

Since October 2017 she receives a fellowship in the working group of Prof. Hermann Wätzig at the Technischen Universität Braunschweig. Her research topic is "Development of Automation in Pharmaceutical Analytics with Consideration of Gender Aspects". This fellowship belongs to the Georg-Christoph-Lichtenberg-Stipendium in the doctoral program "Gendered Configurations of Human and Machine (short: KoMMa.G; www.tu-braunschweig.de/kommag)", which is funded by the State of Lower Saxony.

Mike Gray, B.Sc.

Team Leader Lead Optimisation UK

GlaxoSmithKline

Mike Gray received a degree in Applied Biology (Pharmacology) from the University of Hertfordshire in 1996. He joined the Compound Management group at SmithKline Beecham in 1997 and over the past 22 years has performed a variety of roles in support of GlaxoSmithKline’s drug discovery initiatives from early discovery to clinical candidate selection. For 12 of these years Mike managed the solid compound collection and shipping operations in the UK. He was co-author of the book, Management of Biological and Chemical Samples for Screening Applications (edited by Mark Wigglesworth and Terry Wood). Mike has been involved in numerous modernisation and development projects during his career and is currently the Team Leader for Lead Optimisation at the GlaxoSmithKline Medicines Research Centre in the UK.

Jerome Giovannoni, Ph.D.

Laboratory Head in Mass Spectrometry Screening and Analytical Quality Control

Novartis

Dr. Jerome Giovannoni received his Master of Physics and Chemistry from the School of Industrial Physics and Chemistry (ESPCI-Paris). He then moved to the University of Montpellier (France) where he obtained his Ph.D. in organic chemistry with Professor Martinez. Subsequently, he joined the company Chemspeed Technologies as an Application Chemist. In 2005, Jerome Giovannoni was hired by the agrochemical company Syngenta Crop Protection as a laboratory head and GLP study director in analytical development, with a focus on seed treatment products. He joined Novartis in 2009 where he implemented a high-throughput LCMS quality control laboratory within the Compound Management department. From 2013 to 2016, he took over responsibility for the Automated Solution Production team, managing the inventory of the DMSO stocks solutions used for high-throughput screening. Since 2016, Dr. Giovannoni is leading a team focusing on the development of mass-spectrometry based screening and profiling assays.

Zofia Jordan

Compliance Manager, Discovery Supply

GSK

Chair, Controlled Substance Expert Group. The group shares best practice, learns from external experts and collaborates to improve understanding of current issues in controlled substance legislation and is part of the Pistoia Alliance, a global, not-for-profit members’ organization working to lower barriers to innovation in life science and healthcare R&D through pre-competitive collaboration.

Compliance Manager, Discovery Supply, GSK

Marybeth Burton

Executive Director, Discovery Sample Management

Merck and Co.

"Marybeth Burton is Executive Director, Discovery Sample Management at Merck in Rahway, NJ, USA.  Marybeth leads Merck’s global Discovery Sample Management and is responsible for small molecule and peptide compound management, high throughput purification, commercial chemical inventory management, and discovery chemistry operations.  Her group monitors compound collection quality and participates in efforts to continuously improve both stewardship and composition of Merck's small molecule compound collection.  Marybeth has been involved with process optimization efforts and development of new workflows to support changing sample management needs resulting from globalization of drug discovery efforts.  Marybeth and her team recently completed a multiyear major infrastructure upgrade which includes new automation platforms and processes for small molecule and peptide sample management.

Prior to her tenure at Merck, Marybeth led the compound management group at Schering-Plough.  Marybeth holds a B.A. in Biology and an M.S. in Information Science."

May Elizabeth Sharpe, Ph.D.

Group Leader MX Samples

Paul Scherrer Institute

May Sharpe (née Marsh) received her BSc in Biochemistry from the University of Sussex in 2004 and in 2008 her PhD from the University of Bristol in Structural Biology. During her PhD she spent one year working at Novartis (NIBR) in Basel. In 2008 she moved to the University of Cambridge to join Professor Sir Tom Bundell's group working on developing PPI inhibitors using FBDD. In 2012 she joined the MX group in the Swiss Light Source and since 2018 she has been working as the Group Leader of the MX Samples group, responsible for protein crystal growth and delivery.

Igor Tetko

Group Leader

Helmholtz Zentrum Muenchen

Dr. Tetko is Coordinator of Marie Skłodowska-Curie Innovative Training Network European Industrial Doctorate Horizon2020 project “Big Data in Chemistry” (http://bigchem.eu) and CEO of BIGCHEM GmbH, which offers innovative solutions for Big Data analysis. His research interests covers (Q)SAR, QSPR, application and development of machine learning approaches to predict physico-chemical properties and biological activity of molecules, drug-design and Big Data analysis. He supports Virtual Computational Chemistry Laboratory (http://www.vcclab.org) as well in charge of On-line Chemical Database and Modeling Environment platform (http://ochem.eu). He has contributed more than 200 peer-reviewed papers and book chapters and has H-index of 49 (Google scholar).

Rebecca Docherty

Knowledge Exchange Scientist

University of Liverpool

Dr Rebecca Docherty received her Ph.D. in supramolecular chemistry from The University of Manchester in 2011. She then worked as a Research Assistant at the Manchester Institute of Biotechnology in the area of graphene-based hydrogen fuel cells. After this, she worked internationally in the Japanese pharmaceutical industry and in the UAE nuclear industry. She joined the Materials Innovation Factory (https://www.liverpool.ac.uk/materials-innovation-factory) in 2014 as a Knowledge Exchange Scientist in Professor Andy Cooper’s research team. The Materials Innovation Factory is an £82 M institute that accelerates materials discovery through collocation of industry and academia, and the use of robotics and high-performing computing.

Moana Simpson

Manager, Compounds Australia

Griffith University

Ms Moana Simpson is the Manager of Compounds Australia, and has over 20 years’ experience in providing support for drug discovery research within Australia and the UK, both in academia and in the pharmaceutical industry. Ms Simpson was instrumental in the initial development and subsequent growth of Compounds Australia from its inception to now a fully operational and busy compound management facility. Ms Simpson holds a Bachelor of Science with Honours and a Graduate Diploma in Project Management; her expertise is primarily in the areas of chemistry and biochemistry.

Phil Spencer, Ph.D.

Compound Management Leader

AstraZeneca

Phil Spencer has 20 years’ experience working in Compound Management. From 2000 he was Head of Compound Management at AstraZeneca’s Charnwood site, where he established an Automated Compound Management Facility to support High Throughput Screening. In 2011, Phil moved to the Compound Management group at Alderley Park, where he launched New Molecule Profiling within AstraZeneca’s Open Innovation program. More recently he has led AstraZeneca’s global capability build for dispensing liquids acoustically direct from storage tubes.

Johannes Knop, Ph.D.

Founder and COO

Assay Works

Johannes Knop received a Ph.D. in biochemistry from the University of Hannover (Germany). In 2000, he started his career in the biopharmaceutical industry as an HTS scientist. Prior to founding Assay.Works in 2016, Dr. Knop was head of Research Operations at Amgen Research in Regensburg, where he managed Sample Bank, Cell Production, Informatics, and EH&S

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Keynote
The Future of Hit Discovery
Open to download resource.
Open to download resource. This presentation will take a journey through the past of the pharmaceutical research and reflect on what has driven successful research and development organisations. Certainly, within Sample Management and Hit Discovery organisations, collaboration, innovation and quality have been a cornerstone defining success but have morphed into unrecognisable outcomes. Moreover, we will look at the potential impact of new technologies and approaches within Hit Discovery and how they may further modulate the requirements of successful organisations. This will help formulate a perspective on where we are now as an industry and what the future will look like.
Innovation in Sample Management
Visualizing a Global Design-Make-Test-Analyse Process
Open to download resource.
Open to download resource. Central to the progression of drug discovery projects is the Design-Make-Test-Analyse (DMTA) cycle, where new chemical entities are designed to test project-specific hypotheses, the results of which inform the next cycle of design. Within AstraZeneca both the Chemistry (design, make and analyse) and Biology (test) activities have a global footprint. New compounds are synthesised through a combination of inhouse chemistry and collaboration with CROs. Testing for a project can be spread across multiple AZ research centres and CROs, and includes biochemical and cell-based assays, selectivity profiling and ADME-T. Sample synthesis and registration, storage and sample distribution, submission to assays and ordering for testing all leave a complex trail of data across multiple systems. Consequently, focussing improvements to drive research productivity through faster and less variable DMTA cycles is an immense challenge. This presentation describes the development of software to visualise DMTA cycle times within and across component functions and disciplines, providing powerful insights to identify process challenges and measure improvement. Data can be examined from a testing, project or sample perspective. Throughputs for individual assays, screening activities for a specific project and the full history of individual compounds can all be visualised through an intuitive web application. Having this level of transparency to DMTA cycle time data has identified variability in scientific operating procedures, process constraints, and capacity and logistics issues. In addition, the software has supported strategic decision making in project set-up and geographical resourcing, with a view to longer-term productivity improvements across the DMTA cycle.
LARA and SiLA2.0/AnIML – An Integrated Open Source Laboratory Automation Planning and Evaluation Suite – Also For Sample Management?
Open to download resource.
Open to download resource. Evaluation and visualisation of high-throughput screening data is a bottleneck at each larger automated / robotic screening platform. This is especially challenging, if data from diverse experiments are combined, e.g., cell growth data with enzyme activity data or fluorescence assay data. Or even more challenging, if data from several screened microtiter plates or different rounds of experiments shall be summarised into one statistical analysis. We developed a Python based laboratory automation assistant LARA (github.com/larasuite) integrating the latest SiLA2.0 standard (sila-standard.org) for device and process communication and AnIML (www.animl.org) for long-term data storage. Further components of the LARAsuite are an experiment planning tool, a generic process generator that directly translates molecular biology or biochemical protocols into real robot processes, modules to evaluate and collect all analytical data generated by various instruments (e.g. plate readers, HPLC, GC, MS, PAGE, ...) into one database and finally evaluate the data statistically and visualize the results, using a python based evaluation language. These results and all intermediate process steps, as well as raw data, are explorable via a web interface. The software design paradigms are: speed, ease of use, stability and reliability, modularity, flexibility, extensibility and openness of the source code. It is based on well established open source packages Python (Python-Django database and web framework), R, SQLite/postgreSQL, and Qt5. The LARA suite is very successfully applied in our high-throughput enzyme screening facility at the University of Greifswald (lara.uni-greifswald.de). On this platform we screen up to 5000 enzyme mutants per week in microtiter scale, applying cell growth, protein induction, cell harvesting, cell lysis and optical enzyme assay steps in one process. It shall be discussed if the LARAsuite is also useful in the context of sample and compound management. The code of our software is freely available on lara.uni-greifswald.de or on gitHub (https://github.com/larasuite). The author is part of the SiLA2.0 core development team.
Sample Management & Informatics on a Global Scale – a Small Biotech’s Approach
Open to download resource.
Open to download resource. 2018 ushered in over one hundred new biotech companies globally [1]. The hallmark of a small biotech is its ability to make quick decisions while maintaining a small footprint. In order to accomplish this, access to real-time data and access to the samples that generate the data are critical. Building groups from scratch and outfitting them with equipment takes time and is costly, thus creating a need for outsourcing R&D to a certain extent. In this global environment where companies choose to seek the services of specialized CROs coordinating sample and data movement becomes critical for success. This talk highlights how a small company can tackle these challenges with a small budget while still being nimble.
Pursuit of Quality
Metal Contaminants From Chemical Synthesis
Open to download resource.
Open to download resource. Metal contaminants from chemical synthesis, their impact on bio-chemical screening and a strategy for detection A great deal of effort has been made to improve the quality of screening collections for drug discovery. This has mainly focused on removing compounds of low integrity and purity utilising LCMS analysis. It has been recognised that there are additional unwanted mechanisms that occur when screening enzyme targets and to this end we have built a small collection of compounds that represent these various scenarios. A large part of this compound set comprises of the many metals used as catalysts in the synthesis of our compound collections. We have been screening this set of compounds for several years and whilst it gives us information on an enzymes liability we have very few strategies to mitigate for most of these metals. A recent development in high throughput direct infusion mass spectrometry has enabled sub second analysis of enzyme reactions to enable direct substrate and product analysis which has reduced the false positive rates within assays. We have been able to use this technology and the phenomenon in mass spectrometry that allows metal adducts of certain molecular species to be detected as an intact ion. We can show by harnessing the functional groups usually employed in solid phase supported resins for removing metals from reaction mixtures and incorporating them in soluble molecules that we are able to characterise many these metal contaminants. We will show how this technique was used to identify zinc contamination in two of our high throughput screens.
Human versus Machine - Human Versus Machine Comparison of Manual And Automatic Sample Preparation With Regard To The Requirements Of Pharmaceutical Quality Control
Open to download resource.
Open to download resource. In the pharmaceutical industry, automation is already established in the areas of production and logistics. In quality control (QC) automated workflows are rarely used these days. This is mainly due to the very high requirements on the robot’s hard- and software. For example, a QC-robot has to master many different methods and reagents in a clearly defined and highly regulated environment. Based on guideline structured expert interviews at Analytica and Achema 2018, the state of the art application, as well as possibilities and challenges of laboratory automation were identified. Subsequently, the results of these interview studies are transferred to pharmaceutical workflows. In cooperation with manufacturers and potential users of automation solutions the ease of use of robots in the pharmaceutical QC is investigated. At least three different liquid handlers (Brand, Axel Semrau and Zinsser) are compared. Therefore, the sample preparation of defined HPLC-, CE- and UV-methods is conducted by the robots and the derived ICH Q2-performance parameters - such as precision, linearity and accuracy – are compared. In order to evaluate the user-friendliness of these systems, the user-centered design of the robots and the usability of the software are also examined. These two soft criteria influence the establishment of such systems in terms of employee acceptance. Using all the obtained results a practical guide for the selection of automated workflows in the QC will arise. Furthermore, all automated workflows are compared with their manual counterpart. This should reveal the major possibilities, but also the technical limits of full automation. Additionally, the cooperation between human and machines is evaluated.
The Modernisation of Sample Management at GlaxoSmithKline: Sites, Stores, Systems and Processes
Open to download resource.
Open to download resource. In the last few years the pharmaceutical research landscape has changed. Small molecule compounds are no longer the main source of new drugs and we are seeing significant changes in drug modality. With this comes increasing challenges but also significant opportunities for Sample Management organisations to help support this changing landscape. Discovery Supply (Sample Management) at GlaxoSmithKline is currently executing a large modernisation strategy affecting sites, stores, systems and processes. This presentation will demonstrate how the ongoing modernisation projects are actions to improve quality on GlaxoSmithKline’s journey to reaching excellence. GlaxoSmithKline will share details on the replacement of their Lead Generation Solution Store with focus on quality improvements in terms of throughput, reliability, compound quality, data integrity, financial savings, and footprint reduction. The presentation will show how these quality measures are impacted whilst providing detail on some innovative ways GlaxoSmithKline has approached some of the challenges along the way.
Extending the Shelf Life of the Novartis Screening Collection
Open to download resource.
Open to download resource. Novartis has been reshaping its compound management and high-throughput screening capabilities over the last 10 years to increase their flexibility and reliability. As a consequence, the whole 1.5 million compound collection had to be solubilized anew at 10 mM concentration in 100% DMSO, which represented a massive effort involving automated and manual powder weighing over a period of 5 years. In parallel, systematic analytical quality control steps were implemented in order to check the quality of each fresh solution being prepared and to exclude from the collections impure or unstable compounds. In addition, a systematic analysis is performed on key consumables (i.e. DMSO, tubes, caps, plates, seals, tips etc.) to reduce the risk of an accidental contamination of the stock solutions. This allowed, first time in 2015, to re-plate the screening deck from tubes in 1536-plates formatted to serve sub-set and iterative screening and a second generation of the screening deck is planned for the second half of 2019. Before initiating this new campaign, an analytical quality control study was performed to assess the stability of the solutions in different formats and at different temperatures. The objective of this study was to better assess how the quality of the screening plates evolves over time in storage conditions in order to extend their shelf-life and therefore reduce stock solutions consumption, consumable expenses and workload.
Sample Operations, Case Studies
Advocating Change, One Synthetic Cannabinoid At A Time
Open to download resource.
Open to download resource. Pharmaceutical companies routinely work with controlled substances, narcotics and psychotropic drugs, and must have controls in place to meet the legislative requirements. Today these organisations hold and dispense tens of millions of samples in highly automated processes making manual compliance activities impractical. In 2016 the UK government amended the 1971 Misuse of Drugs Act and added a section designed to control the newer synthetic cannabinoids in increasing supply on the black market. Unfortunately, the definition was drawn extremely broadly. The impact of this amendment is that typical Pharmaceutical libraries have seen their controlled compounds rise into the tens of thousands, with the clear majority having no indication of CB1 activity. This has prevented early discovery activities and limited collaborative research due to the inability to ship these compounds outside the UK. Many existing products like Atorvastatin (Lipitor – Pfizer, statin) and Lostartan (Cozaar – Merck & Co, Angiotensin) are also affected. Not only are these proven medicines, and so do not fall into Schedule 1, which is specifically for substances considered by the government to have no medicinal value, but they also do not exhibit any cannabinoid-like activity This talk covers the needs for software packages to identify controlled substances and how the Controlled Substance Compliance Expert Community (Pistoia Alliance) is working with the UK’s Advisory Council for the Misuse of Drugs by providing expertise to narrow the scope of the definition and suggest other measures such as de-minimis limits and research exemptions.
Non-Standard Sample Management
Open to download resource.
Open to download resource. Over the past 25 years sample management practices for small molecule compounds have evolved to enable streamlined workflows from sample registration through to distribution. These “traditional” workflows utilize informatics systems and varying degrees of automation for storage, retrieval, and sample transfer. In recent years introduction of non-small molecule sample types has created sample handling challenges for traditional compound management groups. These challenges include sample identification and registration, establishment of appropriate storage conditions, utilization of liquid handling equipment, and maintenance of expected cycle times for sample delivery. This case study will highlight several examples of the application of standard compound management tools and workflows to non-standard sample types including peptides, oligonucleotides, and microscale isolation fractions.
HTP Crystallographic Screening for Fragment Based Drug Discovery at the SLS
Open to download resource.
Open to download resource. In recent years, fragment-based drug discovery (FBDD) has revolutionized the development of potent lead compounds against protein targets. This “start small, elaborate efficiently” approach promises to address many deficiencies of traditional medicinal chemistry. It has been used successfully by industry and academics, delivering several drugs to the clinic, and many more to late-stage clinical trials. Probably the most useful and informative technique for FBDD is X-ray crystallography, employed most effectively as a primary screen to detect the binding of fragment hits to protein target sites, while simultaneously elucidating binding poise and identifying possibilities for fragment development. However, the laborious nature of crystallographic screening for fragment-based drug discovery (xFBDD) has until now prevented its universal adoption. In this presentation I will talk about the recently completed fast fragment and compound screening (FFCS) pipeline. This is an integrated next-generation pipeline for crystallization, fragment/compound soaking, crystal harvesting, data collection and analysis, developed at the Swiss Light Source. The fast and reliable FFCS pipeline can be used for xFBDD with ~1000 fragments as well as smaller campaigns with pre-selected fragments or compounds (~100-300 ligands).
Luciferase Advisor for Identification Of False Positive Hits In Luciferase HTS Assays
Open to download resource.
Open to download resource. Firefly luciferase is an enzyme that has found ubiquitous use in biological assays in high-throughput screening (HTS) campaigns. The inhibition of luciferase in such assays could lead to a false positive result. In our recent study[1] we developed models to identify molecules which can contribute false positive hits using various methods, such as molecular docking, SMARTS screening, pharmacophores, and machine learning methods. Among the structure-based methods, the pharmacophore-based method showed promising results, with a balanced accuracy of 74.2%. However, machine-learning approaches using associative neural networks outperformed all of the other methods explored, producing a final model with a balanced accuracy of 89.7%. The high predictive accuracy of this model is expected to be useful for advising which compounds are potential luciferase inhibitors present in luciferase HTS assays. The models developed in this work are freely available at the OCHEM platform at http://ochem.eu. 1.Ghosh D, Koch U, Hadian K, Sattler M, Tetko IV: Luciferase Advisor: High-Accuracy Model To Flag False Positive Hits in Luciferase HTS Assays. J Chem Inf Model 2018, 58(5):933-942.
Mobile Autonomous Robots for Chemical Synthesis and Analysis
Open to view video.
Open to view video. Chemistry and materials impact almost every aspect of our lives, from energy through to healthcare and medicine, but our demand for new technologies is not matched by our research capability to deliver new solutions. For example, industry faces the challenge of replacing petrochemical-derived materials such as surfactants or plastics with bioderived analogues. This can require the total reformulation of complex formulations that have been developed over many decades, sometimes on short regulatory timescales. Our proposed solution is mobile autonomous robot chemists, driven by artificial intelligence, as commercial platforms for chemistry and materials research. Our vision is a technology that finds new research solutions on timescales that are hundreds of times faster than traditional approaches. Equally important, these platforms will be designed to create highly complex materials and formulations with multiple components that would perhaps never be discovered using traditional methods on any timescale. An example workflow can be found at https://youtu.be/ehjMBDFhZ5A. Our autonomous mobile robot chemist moves between a solid dispensing station (A), a liquid dispensing station (B), a photolysis station (C), and an analysis station (D). The objective in this example workflow is to discover next-generation photocatalysts with a target throughput of >5000 tests per week.
Working in Partnership
Working in Partnership: Partnering to Deliver Advanced Compound Management Across the Australian National and International Member Network
Open to download resource.
Open to download resource. Compounds Australia, within the Griffith Institute for Drug Discovery (GRIDD), is Australia's only dedicated compound management and logistics facility. Compounds Australia manages small molecule compound libraries (>670,000 compounds) for access by national life science research teams. Over the past decade, Compounds Australia has built a reputation for high quality compound management and research support underpinned by a combination of expertise in laboratory robotics and automation, large-scale data management and quality control. As a result, each year, Compounds Australia now provides 5 million microplate wells to >150 research users within >74 research groups across 31 member organisations to enable over 200 research projects. Compounds Australia success is built upon its strong and enduring partnerships with 31 member organisations around Australia and internationally. Compounds Australia has leveraged these partnerships, as well as its reputation for quality compound management and service excellence, to position the facility for its second decade of operations and, ultimately, aid in accelerating drug discovery research in Australia. Illustrative of these efforts is our role in both small scale research partnerships as well as large consortia. Examples include: Therapeutic Innovation Australia, which supports translational research infrastructure to develop new therapeutics for human health, and the Compounds Australia ARCF Centre for Compound Management and Logistics, which will bring acoustic compound management to Australia. These examples highlight the value of partnerships to provide industry standard compound management to our growing network of academic, non-for-profit and industry members.
Externalising the AstraZeneca Archive Solids Collection
Open to download resource.
Open to download resource. In 2016 AstraZeneca transferred around 2 million archive solids from its Alderley Park site in the United Kingdom to SPECS based at Zoetermeer in the Netherlands. This presentation will cover the drivers for AstraZeneca pursuing this approach, the selection of SPECS as the partner of choice and how the two companies worked together to establish the new operating model. AstraZeneca will share their experience of running an outsourced model to support project screening activities at its sites and collaboration partners around the world, and reflect on what has been learnt since its introduction.
Achieving More, with Less. Establishing Compound Management at a Small CRO
Open to download resource.
Open to download resource. As a screening CRO, our aspiration is to offer competitive HTS services to clients at industry standards, including a quality small molecule library paired with robust sample management. With the limited resources of a small business, we had to rethink approaches to compound management and answer two important questions: "How to achieve more, with less?" and "Who can help (quickly)?". Collaborating with old and new partners, we were able to: - design and acquire a modular and diverse 150k screening library. - built a robust, low maintenance sample management platform by simplifying hard- and software components. - implement a unified assay.ready plate production process flexible enough to serve the variable needs of our clients. Focusing on the essentials not only allows managing limited resources but may also open a route to creative solutions: With "serial.dripper", we reduced contact-free, direct concentration-series dispensing to practice, avoiding common problems like compound ”bleeding”, “sticking”, or positional bias.