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Vladas Oleinikovas, PhD ๐ช๐บ
@OleinikovasV
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Computational Chemist - CADD/TPD; PhD Chemistry at UCL; BA, MSci Natural Sciences, Chemistry (Cantab). @OleinikovasV.bsky.social
Lietuva
Joined March 2014
RT @NaefLuca: โI feel like they always talk about [...] we donโt have enough data [...] You do have enough data โ if you were innovative enโฆ
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@rdkbio Awesome! Have you benchmarked how well does it perform on novel (dissimilar to previously seen in train) pockets?
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RT @vant_ai: ๐ข Rescheduled Our talk with @josejimlun and @YuuuXie on BioEmu has been rescheduled! ๐๏ธDate: Friday, Feb 7th โฒ๏ธTime: 11am ETโฆ
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RT @NaefLuca: Some end of the year updates and future outlook including about the new flexible-docking focused split and leaderboard the teโฆ
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RT @wpwalters: @DdelAlamo @prof_ajay_jain Time splits with the pdb are a profoundly bad idea. Groups often deposit a novel structure and tโฆ
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RT @vant_ai: ๐ Don't miss this week's talk with @jeremyWohlwend and @GabriCorso where they will talk about their new model Boltz-1. ๐๏ธFridaโฆ
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RT @JuliaBauman2: How many proteins could be degraded by molecular glues? New paper from the team at @MonteRosaTx suggests it's more than pโฆ
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@iambic_ai Impressive results on PoseBusters v2 dataset, what time cutoff did you use and are you planning to share the predicted structures for evaluation?
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RT @pottslab: New preprint out from the MonteRosa gang on computational approaches to mine the CRBN target space. Revealed new neosubstrateโฆ
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RT @TorstenSchwede: Big congratulations to David Baker, Demis Hasabis and John Jumper on their well deserved recognition! Their groundbreakโฆ
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RT @oeaw: #AITHYRA is born! ๐ OeAW is founding a new institute at the intersection of #AI & #biomedicine โ the AITHYRA Institute. Meet theโฆ
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Cannot wait to see this leaderboard to reveal the real SOTA for ML protein complex prediction models. More on how-to get your model there:
Our submission portal on CMT is live! ๐ Deadline to submit is Sep 18 11:59pm AoE. See for call for papers and more info. And, now hosts a P/L/INDER leaderboard! Show us your models!
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Working on structure prediction methods? ๐ฎ Join our challenge! ๐
๐ข Missed the last lecture? Here's the key takeaways for the upcoming @workshopmlsb challenge: ๐งต ๐
The PINDER + PLINDER + MLSB teams are organizing a training workshop Sep 24th - ๐ฏ Tasks: flexible protein-protein & protein-ligand docking/co-folding (no holo structures available, only sequences + apo or predicted monomer!) People will have time to train methods on PINDER/PLINDER splits (no external data!) after MLSB deadline - leaderboard opens Oct 9, closes Nov 9! To submit to the leaderboard & qualify for the talk, methods will need either a MLSB submission (no acceptance required) or available paper/preprint at leaderboard submission time and provide runnable code with & scripts (I/III) ๐งต
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Join us later today to learn more insights about curating PDB for ML datasets without information leakage, and how they can boost your method generalization! #PLINDER & #PINDER
๐ข Join us next week for a talk with @ZhonglinJC (@nvidia), @janani_hex (@UniBasel_en) & @dannykovtun (@vant_ai) on P(L)INDER: new benchmarks for protein-protein & protein-ligand interactions Hosted by @mmbronstein and @befcorreia ๐
Fri, Aug 30 - 5p CET/11a ET ๐Sign-up:
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