Prudencio M Tossou
@TOSSOUPrudencio
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Co-founder of @valence_ai. Research: OOD + low data + drug discovery. Host of the M2D2 Talk Series. https://t.co/KMFRms1Wtw
Joined January 2012
RT @valence_ai: 1/ At Valence Labs, @RecursionPharma's AI research engine, we’re focused on advancing drug discovery outcomes through cutti….
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RT @hsu_jonny: Excited to welcome @DrAnneCarpenter to Montreal to start week 2 of the ML for drug discovery summer school with an overview….
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RT @_portal_: Day 1 of the ML for Drug Discovery Summer School was awesome! 🏫. Over 150 people were in attendance to learn from speakers li….
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RT @cas_wognum: I am excited to present Polaris @pydatalondon!✨. I look forward to share more about the benchmarking platform we are buildi….
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RT @hsu_jonny: Looking forward to #MoML2024 on June 19th! . As always, tickets for students are FREE. Join us @Mila_Quebec for an awesome….
portal.ml4dd.com
Tickets for the summer school & MoML 2024
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To learn about the SOTA in batch effect removal in biochemical data, join us next Tuesday from 11am - 12pm ET.
Next week at M2D2, @ChenyuW64562111 will present “Removing Biases from Molecular Representations via Information Maximization”. 📅 When: Tuesday from 11am - 12pm ET. 📝 Read the paper: Tune in live:
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RT @hsu_jonny: Tune in to the latest reading groups, read blogs, and connect with the TechBio community on @_portal_. We also provide weekl….
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Looking forward to this one!.
Next week at M2D2, Bowen Jing will present “Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms”. 📅 When: Tuesday from 11am - 12pm ET. 📝 Read the paper: Tune in live:
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RT @_portal_: Next week at M2D2, @SusanaVazTor will present “De novo design of high-affinity binders of bioactive helical peptides”. 📅 When….
portal.valencelabs.com
In this presentation, I will discuss our recent study focused on the de novo design of protein binders targeting helical peptides. Our research integrates traditional and deep learning molecular ...
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RT @valence_ai: Introducing LOWE: an LLM-Orchestrated Workflow Engine for executing complex drug discovery workflows using natural language….
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RT @valence_ai: That’s a wrap on #NeurIPS 2023. From cohosting a 700+ person TechBio event with @RecursionPharma and @NVIDIA to showcasing….
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RT @valence_ai: Introducing SAFE, Sequential Attachment-based Fragment Embedding, a novel molecular line notation that redefines molecular….
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RT @datamol_io: Catch @ENoutahi @craigmichaelm @TOSSOUPrudencio @jonathanlimsc at #NeurIPS tomorrow! . They'll be presenting the SAFE paper….
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RT @valence_ai: In the latest community blog, @JeffGuo__ from @SchwallerGroup describes how experience replay can accelerate generative mol….
portal.valencelabs.com
Generative drug design has moved from a proof-of-concept paradigm to real-world impact as observed in the recent surge in works reporting experimental validation (verified binding in cell assays) for...
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RT @valence_ai: Next week at M2D2, we’ll be joined by @HannesStaerk who will discuss his recent paper “Harmonic Self-Conditioned Flow Match….
portal.valencelabs.com
Abstract: A significant amount of protein function requires binding small molecules, including enzymatic catalysis. As such, designing binding pockets for small molecules has several impactful ...
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RT @valence_ai: M2D2 is back!. We’ll be joined by Prof. @AmirBaratiF from @CarnegieMellon who will discuss his recent work in large languag….
portal.valencelabs.com
Talk Abstract: Molecular machine learning shows significant potential for enhancing molecular property prediction and drug discovery. Nevertheless, obtaining labelled molecule data can prove to be a...
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RT @valence_ai: Today we begin our new journey as Valence Labs: a semi-autonomous research engine within @RecursionPharma, dedicated to adv….
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RT @valence_ai: As part of our meetup at #ICML2023 on Wednesday, we’ll be hosting a panel with @cuong_qnguyen (@gsk), Alan Cheng (@merck),….
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RT @valence_ai: We are incredibly excited to integrate our powerful chemistry engine into @RecursionPharma’s OS to enable the future of AI-….
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RT @valence_ai: This week at M2D2, @YunchaoLanceLiu presented MolKGNN, an interpretable and chirality-aware GNN with improved performance….
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