Avsnitt
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In this episode, we speak with Björn Schimmöller, Co-Founder and CEO of iuvantium, a synthetic immunobiology company developing new modalities for the next generation of immunotherapies.
Host: Murat Tunaboylu, Co-Founder and CEO of Antiverse.
You will learn:
The founding journey of iuvantium from Oxford University. How Iuvantium is enhancing immune system efficiency and reducing clinical trial uncertainty using inorganic chemistry. ‘Decoding’ the immune system and how personalised medicine may lead to the next leaps in immunotherapy.Things mentioned:
AstraZeneca COVID-19 vaccine John Austyn - CSO and Co-Founder of Iuvantium Ralph Steinman Farooq Khan - AI Architect at Iuvantium ‘Artificial Lymph Nodes’ Simon Sinek - The Infinite GameAdditional Materials:
Contact iuvantium: [email protected] iuvantium website: https://iuvantium.com/ iuvantium LinkedIn: https://www.linkedin.com/company/iuvantium/First time hearing about Antiverse?
Antiverse is an artificial intelligence-driven techbio company that specialises in antibody design against difficult-to-drug targets, including G-protein coupled receptors (GPCRs) and ion channels. Headquartered in Cardiff, UK and with offices in Boston, MA, Antiverse combines state-of-the-art machine learning techniques and advanced cell line engineering to develop de novo antibody therapeutics. With a primary focus on establishing long-term partnerships, Antiverse has collaborated with two top 20 global pharmaceutical companies. In addition, they are developing a strong internal pipeline of antibodies against several challenging drug targets across various indications.
For more information, please visit https://www.antiverse.io
Never miss a future event!
We'll notify you when a new event is scheduled. Fill out this form to sign up for marketing communications from Antiverse. We post about upcoming events on LinkedIn and Twitter.
LinkedIn: https://www.linkedin.com/company/antiverse/
X: https://twitter.com/AntiverseHQ
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In this episode, we speak with Ashwini Ghogare, Head of Artificial Intelligence and Automation in Drug Discovery at MilliporeSigma, the Global Science and Technology Group at Merck.
Host: Murat Tunaboylu, Co-Founder and CEO of Antiverse.
You will learn:
About Ashwini’s journey to her current role. How to bridge the gaps between working groups with different skill sets for optimal computational drug discovery. The interplay between AIDDISON™ and SYNTHIA™ to automate the drug discovery process. The industry's critical requirements for progress in the AI drug discovery space.Things mentioned:
MELLODDY AIDDISON™: Harnessing Generative AI to Revolutionize Drug Discovery SYNTHIA™: Our Retrosynthsis Software Can Save Years of ResearchAdditional Materials:
AIDDISON™ Drug Discovery Platform Product page. Future Talk: Discovering Drugs with AI-Powered Tools Merck Podcast, ft. Ashwini. Davos: Impacting Life & Health with Science & Tech: Merck - Impacting Life & Health With Science & Tech (Video) C&EN: Hunting for Drugs in Chemical Space Article on AI Drug Discovery.First time hearing about Antiverse?
Antiverse is an artificial intelligence-driven techbio company that specialises in antibody design against difficult-to-drug targets, including G-protein coupled receptors (GPCRs) and ion channels. Headquartered in Cardiff, UK and with offices in Boston, MA, Antiverse combines state-of-the-art machine learning techniques and advanced cell line engineering to develop de novo antibody therapeutics. With a primary focus on establishing long-term partnerships, Antiverse has collaborated with two top 20 global pharmaceutical companies. In addition, they are developing a strong internal pipeline of antibodies against several challenging drug targets across various indications.
For more information, please visit https://www.antiverse.io
Never miss a future event!
We'll notify you when a new event is scheduled. Fill out this form to sign up for marketing communications from Antiverse. We post about upcoming events on LinkedIn and Twitter.
LinkedIn: https://www.linkedin.com/company/antiverse/
X: https://twitter.com/AntiverseHQ
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Saknas det avsnitt?
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In this talk, Murat speaks with Ming (Tommy) Tang, Director of Computational Biology at Immunitas Therapeutics, an immuno-oncology start-up developing novel therapeutics for patients with cancer.
Tommy is a strong leader and communicator in the field of computational biology. He has dedicated his life's work to accelerating cancer research, with prominent expertise in analysing large-scale bulk sequencing data, single-cell and spatial transcriptomic data and epigenetic data.
Outside of his career at Immunitas, Tommy is a brilliant science communicator and teacher, with various educational streams, including Twitter, a blog, a GitHub repository, a YouTube channel, a newsletter, as well as authoring his own book, 'From Cell Line To Command Line'. He is passionate about teaching biologists the computational skills essential for modern science.
You will learn:
How to stay ahead of the curve: developing the data analysis and bioinformatics skills essential to modern research. How Immunitas is developing a discovery engine to aid the fight against cancer and the computational workflows behind it. How to transition from a biologist to a computational biologist. About the shift from academia to industry. About Tommy's inspiring journey.Things mentioned:
Link to all Tommy's resources: https://tommytang.bio.link/
Shanghai Jiao Tong University University of Florida MOOC Platforms: Udacity, Coursera, edX Biostars MD Anderson Cancer Center Roel Verhaak
Cancer Genome Atlas Project Harvard Faculty of Arts and Sciences Shirley Liu's group at Dana Farber Cancer Immunological Data Commons Mount Sinai Stanford Tommy's Blog: https://divingintogeneticsandgenomics.com/ Immunitas's lead candidate: CD161 / IMT-009 / KORV1 Workflow management systems: SnakeMake, Nextflow... Visgene Matthew Berstein PD-1 Recursion Bridges the Protein and Chemical Space with Massive Protein-Ligand Interaction Predictions Spanning 36 Billion Compounds.Additional Materials:
Watch the recording of the live event! https://youtu.be/CYa9rDFDaaIFirst time hearing about Antiverse?
Antiverse is an artificial intelligence-driven techbio company that specialises in antibody design against difficult-to-drug targets, including G-protein coupled receptors (GPCRs) and ion channels. Headquartered in Cardiff, UK and with offices in Boston, MA, Antiverse combines state-of-the-art machine learning techniques and advanced cell line engineering to develop de novo antibody therapeutics. With a main focus on establishing long-term partnerships, Antiverse has collaborated with two top 20 global pharmaceutical companies. In addition, they are developing a strong internal pipeline of antibodies against several challenging drug targets across various indications.
For more information, please visit https://www.antiverse.io
Never miss a future event!
We'll notify you when there's a new event scheduled. Fill out this form to sign up for marketing communications from Antiverse. We post about upcoming events on LinkedIn and Twitter.
LinkedIn: https://www.linkedin.com/company/antiverse/
X: https://twitter.com/AntiverseHQ
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In this talk, Murat speaks with Nikhil Podduturi, Head of Data Science at the Digital Lab of Boehringer Ingelheim - (BI X).
Nikhil co-leads the laboratory and data science chapters at the BI X headquarters in Germany and China. The team at BI X is pioneering digital innovations to improve the lives of patients and animals. The current technologies developed by BI X include PetPro Connect, Farmera, and Pathological Speech Processing, with impacts spanning multiple healthcare fields.
Nikhil's current work involves developing new tools to accelerate drug discovery with advanced genetic sequencing technologies, designing new in silico systems to identify indications for drugs, as well as incorporating AI and ML technologies across BI X's digital health platforms.
You will learn:
How the BI X team was founded. How BI X is using a data-driven approach to advance drug discovery and healthcare. Regulatory steps involved in approving a digital health product. Future directions for BI X. How to get involved.Things mentioned:
Center for Computational Biology and Bioinformatics at Columbia Mike Schmelmer Alibaba Oxford Nanopore SAMD - Software as a Medical Device ISO - International Organization for Standardisation ESMFold: Read here UK BiobankAdditional Materials:
Watch the recording of the live event! https://youtu.be/5l69jvIu5DQFirst time hearing about Antiverse?
Antiverse is an artificial intelligence-driven techbio company that specialises in antibody design against difficult-to-drug targets, including G-protein coupled receptors (GPCRs) and ion channels. Headquartered in Cardiff, UK and with offices in Boston, MA, Antiverse combines state-of-the-art machine learning techniques and advanced cell line engineering to develop de novo antibody therapeutics. With a main focus on establishing long-term partnerships, Antiverse has collaborated with two top 20 global pharmaceutical companies. In addition, they are developing a strong internal pipeline of antibodies against several challenging drug targets across various indications.
For more information, please visit https://www.antiverse.io
Never miss a future event!
We'll notify you when there's a new event scheduled. Fill out this form to sign up for marketing communications from Antiverse. We post about upcoming events on LinkedIn and Twitter.
LinkedIn: https://www.linkedin.com/company/antiverse/
X: https://twitter.com/AntiverseHQ
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In this talk, Murat speaks with Abhishek Pandey, Principle Research Scientist and Pharma Discovery Group Lead at AbbVie.
Abhishek currently leads RAIDERS, a Pharma Discovery group integrating machine learning across all of AbbVie's working groups to augment drug discovery capabilities. Abhishek's groups work spans cheminformatics, imaging research, multi-omics, as well as the computation behind many of AbbVie's current partnerships and collaborations.
We'll be exploring how the machine learning group is transforming the processes across multiple working groups at the pharmaceutical giant, AbbVie. We'll also be unravelling the story of how Abhishek began his pioneering work at AbbVie.
You will learn:
About Abhishek's strategy for bridging chemistry, biology and computer science expertise to integrate machine learning across AbbVie's pharma discovery processes. About Abhishek's vision for the future of drug discovery, as we explore the pressing needs of the pharmaceutical industry from both a technical and social standpoint.About Abhishek:
Abhishek started his career as a software engineer at Toshiba. Following this, Abhishek began his PhD in medical engineering and image processing at the University of Arizona. This led Abhishek to become a core member of the precision medicine AI team at Tempus, developing ways to improve cancer imaging pipelines to help oncologists detect cancers more efficiently. Abhishek then joined AbbVie, where he founded the machine learning / deep learning team - the influence of which has expanded across the entire company.
Things mentioned:
Abhishek Pandey, Principle Research Scientist and Pharma Discovery Group Lead at AbbVie. RAIDERS: Pharma Discovery and Developmental Sciences team at AbbVie. Google Meta Toshiba Tempus Labs (now Tempus). PADME (Protein And Drug Molecule interaction prEdiction), a framework based on Deep Neural Networks, to predict real-valued interaction strength between compounds and proteins. NeurIPS Conference (Conference on Neural Information Processing Systems) InSitro FacebookAdditional Materials:
Watch the recording of the live event! https://www.youtube.com/watch?v=F9kADawRPOsFirst time hearing about Antiverse?
Antiverse is an artificial intelligence-driven techbio company that specialises in antibody design against difficult-to-drug targets, including G-protein coupled receptors (GPCRs) and ion channels. Headquartered in Cardiff, UK and with offices in Boston, MA, Antiverse combines state-of-the-art machine learning techniques and advanced cell line engineering to develop de novo antibody therapeutics. With a main focus on establishing long-term partnerships, Antiverse has collaborated with two top 20 global pharmaceutical companies. In addition, they are developing a strong internal pipeline of antibodies against several challenging drug targets across various indications.
For more information, please visit https://www.antiverse.io
Never miss a future event!
We'll notify you when there's a new event scheduled. Fill out this form to sign up for marketing communications from Antiverse. We post about upcoming events on LinkedIn and Twitter.
LinkedIn: https://www.linkedin.com/company/antiverse/
Twitter (x.com) : https://twitter.com/AntiverseHQ
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In this talk, Murat speaks with Tzvika Hartman, Senior Vice President of Computation at Biolojic Design, a company curating AI-designed antibodies focused on autoimmune diseases and immuno-oncology applications.
Biolojic uses machine learning to design 'programmable' antibodies with more precise molecular effects. These antibodies work dynamically with their environment, both temporally and spatially, opening avenues for new ways to alter biology. Their lead candidate, AU-007, pioneered by spin-out company Aulos Bioscience, is being advanced through Phase II clinical studies in solid tumour cancers.
Don't miss this exciting opportunity to learn about the technology and strategies at Biolojic Design directly from Tzvika. Furthermore, we'll be exploring Tzvika's fascinating and eventful career.
About Tzvika:
Tzvika has more than 30 years of experience in computer science research and software engineering. He worked at Google, Tel Aviv for 8 years as a software engineer, before founding Google's Health group in Tel Aviv, leading various projects over 5 years. Tzvika now leads the computational advancements at Biolojic Design.
Tzvika Hartman, Senior Vice President of Computation at Biolojic Design. Weitzman Institute Google, Tel Aviv Google Trends 'Multibodies', Biolojic's proprietary antibody format. ChatGPT Novartis Eli Lilly AstraZeneca AU-007, selective effector cells agonist for IO - Anti-IL2 epitope-specific antibody.
Things mentioned:Additional Materials:
Watch the recording of the live event! https://youtu.be/XKJFFcFMt5c?feature=sharedAbout Antiverse:
Antiverse was co-founded in 2017 with the goal of engineering the future of drug discovery to change people's lives. Based in Cardiff, Antiverse combines machine learning and phage display techniques to model antibody-antigen interactions. The current version of the platform uses next-generation sequencing and AI to design diverse antibody candidates for any given target. The technology is being developed to enable the discovery of biologics for difficult-to-drug targets associated with cancer, heart, and lung diseases.
Never miss a future event!
We'll notify you when there's a new event scheduled. Fill out this form to sign up for marketing communications from Antiverse. We post about upcoming events on LinkedIn and Twitter.
LinkedIn: https://www.linkedin.com/company/antiverse/
Twitter (x.com) : https://twitter.com/AntiverseHQ
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In this captivating podcast series, we dive deep into the world of computational antibody discovery with Ben Holland, our Co-Founder and CTO at Antiverse. Join us as we uncover the immense potential of merging computational and experimental techniques in the pursuit of revolutionary antibodies, as Ben sheds light on the strong benefits and formidable challenges encountered when targeting complex molecules such as GPCRs. With an emphasis on precision and accuracy in predicting antibody-antigen interactions, Ben shares remarkable insights and breakthroughs achieved by computational discovery techniques. Tune in and join us at the forefront of antibody discovery!
Things mentioned:
Ben Holland, Co-Founder and CEO of Antiverse. Antiverse, an AI-first biologics discovery company that designs antibodies against difficult -to-drug targets. Watch the full presentation, with slides! https://youtu.be/v8-ZrR7L83s Watch the full Computational Antibody Discovery Symposium, hosted by The Antibody Society, NaturalAntibody and AstraZeneca! https://youtube.com/playlist?list=PLWG3bWQmCPkPPfDhqiRqKWmqHYumJXlHqAdditional Materials:
Contact us about your discovery projects by emailing [email protected].About Antiverse:
Antiverse was co-founded in 2017 with the goal of engineering the future of drug discovery to change people's lives. Based in Cardiff, Antiverse combines machine learning and phage display techniques to model antibody-antigen interactions. The current version of the platform uses next-generation sequencing and AI to design diverse antibody candidates for any given target. The technology is being developed to enable the discovery of biologics for difficult-to-drug targets associated with cancer, heart, and lung diseases.
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Are you curious about the latest advancements in AI-enabled antibody discovery? In this podcast series, we dive into the world of Antiverse - we are accelerating drug discovery against difficult targets, including GPCRs and ion channels, using machine learning and phage display techniques.
Join us as we discuss our mission to target cancer, cardiovascular disease, and other challenging conditions. Discover how we leverage AI and wet lab innovation to accelerate the discovery and development of biologics. Plus, learn about our unique approach to antibody discovery, our progress with our internal pipeline of antibodies against GPCRs and other challenging targets, as well as our exciting ongoing collaborations. Tune in and join us at the forefront of antibody discovery!
Things mentioned:
Murat Tunaboylu, Co-Founder and CEO of Antiverse. Twist Bioscience, a Synthetic Biology company that develops and manufactures synthetic DNA. Antiverse, an AI-first biologics discovery company that designs antibodies against difficult -to-drug targets. Watch the full presentation, with slides! https://youtu.be/cRHxi4MWExQAdditional Materials:
Contact us about your discovery projects by emailing [email protected].About Antiverse:
Antiverse was co-founded in 2017 with the goal of engineering the future of drug discovery to change people's lives. Based in Cardiff, Antiverse combines machine learning and phage display techniques to model antibody-antigen interactions. The current version of the platform uses next-generation sequencing and AI to design diverse antibody candidates for any given target. The technology is being developed to enable the discovery of biologics for difficult-to-drug targets associated with cancer, heart, and lung diseases.
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In this episode, we speak with Alan Nafiiev, Co-Founder and CEO of ‘RECEPTOR.AI’, an Artificial Intelligence (AI)-drug discovery company focused on screening small drug molecule candidates against difficult-to-drug targets.
Alan gives some key insights into the history of Receptor AI, the company's successes and obstacles, and how Receptor AIs 'software as a service' (SaaS) and services are streamlining the drug discovery process for pharmaceutical and biotech companies. He also discusses how Receptor AIs technology can automate and customise drug discovery pipelines.
To conclude, Alan explains Receptor AIs plans for 2023 - branching into membranotropic drug discovery for cancer and cardiovascular diseases, through designing drugs against unique membrane environments.
Things mentioned:
Sergii Starosyla, Co-Founder and CTO of Receptor AI. Semen Yesylevskyy, Co-Founder and CSO of Receptor AI. Enamine, a partner to Receptor AI.Additional Materials:
SIRT1 Case Study BRD4 Case Study Selectivity Benchmark Platform Benchmarks and Tests Bifunctional Protein Degradars Product Deck End-to-End Drug Candidate Design via Active LearningAbout Antiverse:Antiverse was co-founded in 2017 with the goal of engineering the future of drug discovery to change people's lives. Based in Cardiff, Antiverse combines machine learning and phage display techniques to model antibody-antigen interactions. The current version of the platform uses next-generation sequencing and AI to design diverse antibody candidates for any given target. The technology is being developed to enable the discovery of biologics for difficult-to-drug targets associated with cancer, heart, and lung diseases.
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Arctoris COO Tom Fleming talks about automation and building a small molecule discovery platform
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In this episode, our guest Assistant Prof. Tim Jenkins talks about snakebites and how to use AI to design broadly neutralising antibodies against venoms. Tim takes us through his experience at Milner Therapeutics Institute and shares his passion and vision for connecting academia and startups/industry players. In the second half of this talk, Tim explains the complexity in the venom domain and the challenges that lie ahead for the commercialisation of antivenom antibodies.
PS: Recently, with InstaDeep, Tim has posed a snake antivenom challenge as part of the largest hackathon in Africa.
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In episode 4, Murat talks with Andrew C. R. Martin, Professor of Bioinformatics and Computational Biology at UCL, about abYsis (a fully integrated antibody discovery system) and the latest antibody developability tools!
Following the origin story of abYsis, you will hear the differences between the public and commercial versions such as data persistence and security, as well as new tools such as abYmod and abYdraw.
At the end of the talk, the discussion moves into developability (stability and Immunogenicity).
Antiverse - Engineering the future of drug discovery - https://www.antiverse.io/
To obtain an abYsis license contact Chemogenomix.To be an abYdraw beta tester contact Andrew Martin.
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Future of Drug Discovery Episode #3
In this session, Murat talks with Konrad Krawczyk, Assistant Professor SDU and Founder of NaturalAntibody.We will be covering Mr Natural Antibody's views on developing and using bioinformatics tools to analyse and discover biologics.
Other topics in this episode:- Changing role of bioinformatics from assisting to being the main driver in biologics discovery
- 99% of the job is to get quality data, 1% is computational methods
- Collecting data from Patents, Scientific Publications, NGS, Therapeutics from FDA
- Developing models for binding prediction and biophysical properties
- Predictions of binding and developability, database, tool access, and expertise
- Interpretability of ML models
Antiverse - Engineering the future of drug discovery - https://www.antiverse.io/
