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Manas Mahale

@manasmahale.bsky.social

Cheminformatics | ML | manasmahale.in

568 Followers  |  1,194 Following  |  8 Posts  |  Joined: 17.11.2024  |  1.6872

Latest posts by manasmahale.bsky.social on Bluesky

Rafa has come out swinging this morning πŸ˜‚

11.04.2025 13:26 β€” πŸ‘ 69    πŸ” 13    πŸ’¬ 6    πŸ“Œ 0
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GitHub - Manas02/Tanki: Terminal Based SRS Terminal Based SRS. Contribute to Manas02/Tanki development by creating an account on GitHub.

I made a Terminal based Anki clone (Spaced Repetition System TUI) for no reason !

github.com/Manas02/Tanki

02.03.2025 14:50 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Manas Mahale

It’s surprising how much you can do without JS

manasmahale.in/resume.html

28.12.2024 19:20 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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This is what happens when you let computer scientists design molecules 🀯 Oral presentation @neuripsconf.bsky.social #NeurIPS2024 #chemsky

14.12.2024 02:32 β€” πŸ‘ 128    πŸ” 15    πŸ’¬ 21    πŸ“Œ 5
CPHI Middle East 2024 | Region's largest pharma exhibition Connect with 400+ pharma companies and 150+ global experts at the largest pharma conference in the region. Explore the latest innovations in API, drug manufacturing, and more in Riyadh, Saudi Arabia.

I am speaking at CPHI Middle East in Riyadh this week, on

"Artificial Intelligence Across Modalities - Small Molecules, Antibodies/Proteins, and Cell and Gene Therapy"

Please don't hesitate to get in touch if you are interested in AI & drug discovery! Cheers, Andreas

www.cphi.com/middle-east/...

09.12.2024 15:34 β€” πŸ‘ 7    πŸ” 2    πŸ’¬ 0    πŸ“Œ 0
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PKSmart v3.0 is now live! pk-predictor.serve.scilifelab.se

PKSmart is an open-source app we built to predict human and animal pharmacokinetic parameters. Publication is coming soon and is also available for local implementation via pip install pksmart.

23.11.2024 18:19 β€” πŸ‘ 19    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0
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pksmart PKSmart: An Open-Source Computational Model to Predict in vivo Pharmacokinetics of Small Molecules

pip install pksmart

pypi.org/project/pksm...

24.11.2024 01:51 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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Out-of-Distribution Validation for Bioactivity Prediction in Drug... Recent advances in machine learning for materials science have significantly improved the prediction of novel materials. Building on these methods, we have adapted them for drug discovery...

We translated a validation strategy in Materials to Small molecules.

A key problem in cross-validation is splitting of data. Here we propose a step-forward CV. People are used to scaffold splits, time splits etc. but these all have limitations.

21.11.2024 02:04 β€” πŸ‘ 17    πŸ” 3    πŸ’¬ 1    πŸ“Œ 0
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Extended Activity Cliffs‐Driven Approaches on Data Splitting for the Study of Bioactivity Machine Learning Predictions The presence of Activity Cliffs (ACs) has been known to represent a challenge for QSAR modeling. With its high data dependency, Machine Learning QSAR models will be directly influenced by the activit...

About activity cliffs, sampling, similarity, and ML training:
onlinelibrary.wiley.com/doi/10.1002/...

19.11.2024 14:18 β€” πŸ‘ 11    πŸ” 4    πŸ’¬ 0    πŸ“Œ 0
Are we fitting data or noise? Analysing the predictive power of commonly used datasets in drug-, materials-, and molecular-discovery - Faraday Discussions (RSC Publishing) DOI:10.1039/D4FD00091A

βœ‹

Great to see the communities re-forming!

Lately, on the side closer to cheminformatics, I've looked at the limits of predictive power of machine learning models

18.11.2024 18:09 β€” πŸ‘ 2    πŸ” 2    πŸ’¬ 1    πŸ“Œ 0
A cartoon robot using a chainsaw on a log

A cartoon robot using a chainsaw on a log

There’s a new Practical Cheminformatics post, β€œSome Thoughts on Dataset Splitting,” (with code and a robot cartoon) at practicalcheminformatics.blogspot.com/2024/11/some... .

18.11.2024 13:34 β€” πŸ‘ 60    πŸ” 15    πŸ’¬ 4    πŸ“Œ 1
RDKit blog - The problem(s) with scaffold splits, part 1 I get a bit ranty… again.

related, this wonderful post by @greglandrum.bsky.social

greglandrum.github.io/rdkit-blog/p...

18.11.2024 18:26 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Yes, I began collecting various implementations of scaffold split, and there’s quite a variety of them. In general, your point that the scaffold split essentially resembles random sampling except in cases with clearly clustered data holds true when we examine those implementations.

18.11.2024 18:23 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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GitHub - dehaenw/world-s-simplest-ECFP: the world's simplest ECFP the world's simplest ECFP. Contribute to dehaenw/world-s-simplest-ECFP development by creating an account on GitHub.

The world's simplest ECFP implementation: github.com/dehaenw/worl... #chemsky #cheminformatics

18.11.2024 10:27 β€” πŸ‘ 7    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0
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GitHub - Manas02/analogue-split: pip install analoguesplit pip install analoguesplit. Contribute to Manas02/analogue-split development by creating an account on GitHub.

Analogue Split creates train-test sets with a fraction (Ξ³) of activity cliffsβ€”molecular pairs with high similarity (above a threshold, Ο‰) but with different activity labels. Results are visualized for metrics like accuracy, precision, recall, and F1-score across Ξ³.

github.com/Manas02/anal...

18.11.2024 14:48 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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GitHub - Manas02/analogue-split: pip install analoguesplit pip install analoguesplit. Contribute to Manas02/analogue-split development by creating an account on GitHub.

Analogue Split creates train-test sets with a fraction (Ξ³) of activity cliffsβ€”molecular pairs with high similarity (above a threshold, Ο‰) but with different activity labels. Results are visualized for metrics like accuracy, precision, recall, and F1-score across Ξ³.

github.com/Manas02/anal...

18.11.2024 14:48 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0
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I just joined Bluesky as well... let's rebuild the same nice community in the cheminformatics/comp chem/bioinformatics/drug discovery etc. areas that 'the other place' was in the good old days 😊! Looking forward to reconnecting with people here, Andreas

18.11.2024 07:42 β€” πŸ‘ 64    πŸ” 9    πŸ’¬ 3    πŸ“Œ 2

@srijitseal.com

AndyGoesBsky.blogspot.com πŸ˜‚

18.11.2024 14:01 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Thanks for this !

17.11.2024 07:41 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

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