Fabien Plisson
@FabienPlisson
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Drug Discovery, ML+AI & Peptide Design | Rosenkranz Award 2021 | 🇫🇷 🇦🇺 🇲🇽 | Dad | Founding https://t.co/WBZNxCqHnQ ORCID 0000-0003-224
Australia
Joined November 2014
Happy to launch Iɴɢᴇɴɪᴇ Bɪᴏ, a consulting firm offering data-driven solutions for biomolecular discovery and design! We specialize in AI-driven molecular design, computational chemistry, and more. Let's collaborate! Visit #AI #ML #drugdiscovery.
ingeniebio.com
Ingenie Bio integrates data-driven solutions to support biomolecular design across drug discovery and beyond.
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RT @GabriCorso: 📢 Call for proposals: Boltz small-molecule design collaboration! 🧬.Can we help design your ideal molecule? Can you help us….
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RT @NathanLands: I'M BLOWN AWAY. Andrej Karpathy just explained Software 3.0 at YC. BIG IDEAS: English is coding. AI is electricity. And,….
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RT @miangoar: 1/2 🧵| 2 MUST read papers if you want to use generative AI with proteins. tldr:. Diff create + plausible but - diverse protei….
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RT @Patrick18287926: Our latest work is out: we designed dual GLP1R/GCGR agonists—cyclic peptides that activate both metabolic receptors, e….
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RT @delafuentelab: Ever wondered how to spot new antibiotics hiding in biological data? Our latest paper in @NatureProtocols @NaturePortfol….
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RT @BiologyAIDaily: AI-Guided Discovery and Optimization of Antimicrobial Peptides Through Species-Aware Language Model. １．This study intro….
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RT @rafeequemavoor: 🧵5 Top Free Alternatives to BioRender for Scientific Illustrations! . These five websites offer free scientific illust….
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RT @BiologyAIDaily: CreoPep: A Universal Deep Learning Framework for Target-Specific Peptide Design and Optimization. 1. CreoPep is a gener….
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RT @miangoar: The Steinegger lab found a single putative novel fold among 821M predictions. Once again, this plot comes to mind: PLMs are o….
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RT @BiologyAIDaily: CONSTRUCT: an algorithmic tool for identifying functional or structurally important regions in protein tertiary structu….
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RT @BiologyAIDaily: Predicting the conformational flexibility of antibody and T-cell receptor CDRs. - This paper presents ITsFlexible, a no….
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RT @ginaelnesr: Protein function often depends on protein dynamics. To design proteins that function like natural ones, how do we predict t….
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RT @andrewwhite01: Half of an AI scientist is rejecting or accepting hypotheses. @FutureHouseSF and @SciMac just put out ~300 novel hypothe….
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RT @nc_frey: Lab-in-the-loop therapeutic antibody design. At @PrescientDesign @genentech we have spent 3+ years reimagining drug discovery.….
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Are protein language models the new universal key?. Brilliant and thoughtful piece.
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Brilliant video by @veritasium on the development of protein structure prediction featuring #AF2 and #Rosetta series with David Baker.
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RT @liambai21: Remember Golden Gate Claude? . @etowah0 and I have been working on applying the same mechanistic interpretability techniques….
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RT @pranamanam: As you can probably tell from our work, we're now all in on diffusion and flow matching models for protein/peptide sequence….
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Beilun Wang and team recently reported the development of antimicrobial peptides combining an ensemble of DL predictors with EvoGradient, modifying candidates strategically from evolutionary information, and improving their AMP activity and selectivity.
nature.com
Nature Microbiology - An AI-based learning model is applied to low-abundance human oral bacteria and identifies antimicrobial peptides with efficacy against multidrug-resistant bacterial pathogens.
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We previously used that strategy to set guidelines for discovering and designing non-hemolytic peptides:.
nature.com
Scientific Reports - Machine learning-guided discovery and design of non-hemolytic peptides
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