Molecular Machine Learning @molecularML
Team-run account of the Molecular ML research group led by @fra_grisoni | #AI for Drug Discovery | Doing all this at @tueindhoven & @ICMStue Eindhoven, Nederland Joined September 2021-
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Our (mini) review on deep learning for low-data drug discovery is now out! doi.org/10.1016/j.sbi.… There are honestly few things I enjoy as much as writing a review. It's so satisfying Especially together with @hlnbrnkmnn @emanuelecriscu9 Luke Rossen @Rza_ozcelik @fra_grisoni
Our (mini) review on deep learning for low-data drug discovery is now out! doi.org/10.1016/j.sbi.… There are honestly few things I enjoy as much as writing a review. It's so satisfying Especially together with @hlnbrnkmnn @emanuelecriscu9 Luke Rossen @Rza_ozcelik @fra_grisoni
Are you working with #naturalproducts and do you want to know what fingerprint to use? Look no further, we got you covered. 👇 Nice collaboration between @TUeindhoven @molecularML, @MiChemQSAR and @SieberLab, spearheaded by the unstoppable Davide Boldini! 💪🏻
Are you working with #naturalproducts and do you want to know what fingerprint to use? Look no further, we got you covered. 👇 Nice collaboration between @TUeindhoven @molecularML, @MiChemQSAR and @SieberLab, spearheaded by the unstoppable Davide Boldini! 💪🏻
Effectiveness of molecular fingerprints for exploring the chemical space of natural products - out now in @jcheminf. Thanks to all the co-authors involved for this nice collaboration ! @molecularML @MiChemQSAR @fra_grisoni jcheminf.biomedcentral.com/articles/10.11…
A packed room and exciting talks - the 4th @appliedmldays AI & the Molecular World track was a full success! Many thanks to the excellent speakers, to the participants, and to @RebeccaNeeser @igashov @rneschneuing @damiano_sga and @befcorreia for the organisation! #AMLD2024EPFL
A packed room and exciting talks - the 4th @appliedmldays AI & the Molecular World track was a full success! Many thanks to the excellent speakers, to the participants, and to @RebeccaNeeser @igashov @rneschneuing @damiano_sga and @befcorreia for the organisation! #AMLD2024EPFL https://t.co/JrSgbM3GZp
This was a nice opportunity to talk about our latest work @molecularML. I'll be at the venue until the end of the day. Let's connect if you are around! 🙂
This was a nice opportunity to talk about our latest work @molecularML. I'll be at the venue until the end of the day. Let's connect if you are around! 🙂
A bit more than two weeks left to apply 👇 Join us @molecularML to push the boundaries of structure-based drug discovery! 💪🏻
A bit more than two weeks left to apply 👇 Join us @molecularML to push the boundaries of structure-based drug discovery! 💪🏻
Here’s the full description jobs.tue.nl/en/vacancy/pos…
📢 Open #postdoc position on my team @molecularML 🚀 Do you want to stretch the boundaries of #protein representation learning for drug discovery? Do you have expertise in #deeplearning? 👉Then this position might be for you: reach out via DM! Repost appreciated 🙏
@pschwllr Thanks! 🤩 No black magic! 🪄 Just a lot of hard work (and resilience to some initial frustration 😅) by @Rza_ozcelik 💪🏻, plus the essential contribution of Sarah and @emanuelecriscu9, without whom this would have not been possible 🚀🌙
And just saw the intro of @fra_grisoni talk, which certainly has been inspiring! How did your team manage to get those state space models to produce interesting molecules? 🤩
At the heart of scientific progress lies the driving force of #data. 💻📊 But what if there is too little available? 🧪💻 @fra_grisoni tells us how ML for drug discovery can be successful in low-data regimes #LeopoldinAIchem
Don’t forget to apply or share with your network! 👇 👇 #postdoc position on protein representation learning @TUeindhoven @molecularML, supported by @ERC_Research StG. More info here: jobs.tue.nl/en/vacancy/pos… The selection procedure will start soon 💪🏻
Don’t forget to apply or share with your network! 👇 👇 #postdoc position on protein representation learning @TUeindhoven @molecularML, supported by @ERC_Research StG. More info here: jobs.tue.nl/en/vacancy/pos… The selection procedure will start soon 💪🏻
The preprint on nanoFeatures🔎, the app I developed to characterize nanoparticles from super-resolution microscopy is finally out on BioRxiv! The standalone application and the Matlab source code are available on our GitHub: github.com/n4nlab/nanoFea… biorxiv.org/content/10.110…
Come work with us 👇
Low-data is one of the major limitations in drug discovery and here we (@molecularML) curate a list of challenges and methods to rise up to the challenge! Check it out👇
Low-data is one of the major limitations in drug discovery and here we (@molecularML) curate a list of challenges and methods to rise up to the challenge! Check it out👇
Check out our new review on "Deep learning for low-data #drugdiscovery"! We discuss ML strategies to deal with our most pressing problem; ✨ low-data ✨ doi.org/10.26434/chemr… @hlnbrnkmnn @emanuelecriscu9 Luke Rossen @Rza_ozcelik @fra_grisoni @molecularML #AI #chemistry
How can #deeplearning can be applied to low-data drug discovery? Check out our minireview, covering existing approaches, and challenges and opportunities ahead👇 A great team effort @molecularML — started with a full brainstorming day, ended in a 🌟 splendid 🌟 minireview 💪🏻
How can #deeplearning can be applied to low-data drug discovery? Check out our minireview, covering existing approaches, and challenges and opportunities ahead👇 A great team effort @molecularML — started with a full brainstorming day, ended in a 🌟 splendid 🌟 minireview 💪🏻
How we can cope with low-data scenarios for deep learning in drug discovery?🧪💻 Francesca Grisoni (@fra_grisoni) kicks off the 6th Mini-Symposium on #Molecular #MachineLearning
Welcome @agardinon! 💪🏻
We have a PhD position open! Interested in microscopy (super-resolution, EM correlative imaging) and nanoparticles for mRNA delivery? Join our @n4nlab group at @TUeindhoven jobs.tue.nl/en/vacancy/phd…
Andrew White crow/acc @andrewwhite01
20K Followers 2K Following Head of Sci/cofounder @FutureHouseSF. Prof of chem eng @UofR (on sabbatical). Automating science with AI and robots, starting with bio.Francesca Grisoni @fra_grisoni
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9 Followers 471 FollowingInvalid SMILES is all you need 🤣
Invalid SMILES are beneficial rather than detrimental to chemical language models compchemhighlights.org/2024/04/invali… #compchem
Our (mini) review on deep learning for low-data drug discovery is now out! doi.org/10.1016/j.sbi.… There are honestly few things I enjoy as much as writing a review. It's so satisfying Especially together with @hlnbrnkmnn @emanuelecriscu9 Luke Rossen @Rza_ozcelik @fra_grisoni
Check out our new review on "Deep learning for low-data #drugdiscovery"! We discuss ML strategies to deal with our most pressing problem; ✨ low-data ✨ doi.org/10.26434/chemr… @hlnbrnkmnn @emanuelecriscu9 Luke Rossen @Rza_ozcelik @fra_grisoni @molecularML #AI #chemistry
Our @NatureCatalysis reviews data-driven strategies to solve challenges across heterogeneous, homogeneous and enzymatic catalysis, underscoring the importance of data standardization to spur research in digital catalysis, with @MSuvarna369 👇 doi.org/10.1038/s41929…
Shoutout to the super team of co-authors who made important contributions and never lost motivation despite the challenges and long time required to complete this work! 💪🏼🙌🏻@erica_delgrosso @SerenaGenti @Lorenabp9 @rmestre_ #LarsPaffen
@tania_patino_ @MerkxMaarten @J_A_C_S @MSCActions @SamuelNanobots @RicciLab Great work Tania and team 👏
Our 🧬DNA-based nanoswimmers that move thanks to enzyme catalysis out now in @J_A_C_S ! This was my dream project made possible by @MSCActions and a great collaboration with @SamuelNanobots and @RicciLab Stay tuned for more 🧬🤖🚀!!! 🤩 pubs.acs.org/doi/full/10.10…
I am extremely honoured to announce that today marks my first day as an Assistant Professor at @Cambridge_Uni, at the Department of Applied Mathematics and Theoretical Physics. I am very excited about the challenges and opportunities ahead as I embark on this new chapter!
@SieberLab @jcheminf @molecularML @MiChemQSAR @fra_grisoni Great work! Fyi we have recently released a new version of MAP4 that also encodes stereochemistry. Might be interesting to see in the future how the fingerprints compare when stereochemistry of natural products is considered 😄
Are you working with #naturalproducts and do you want to know what fingerprint to use? Look no further, we got you covered. 👇 Nice collaboration between @TUeindhoven @molecularML, @MiChemQSAR and @SieberLab, spearheaded by the unstoppable Davide Boldini! 💪🏻
Effectiveness of molecular fingerprints for exploring the chemical space of natural products - out now in @jcheminf. Thanks to all the co-authors involved for this nice collaboration ! @molecularML @MiChemQSAR @fra_grisoni jcheminf.biomedcentral.com/articles/10.11…
Effectiveness of molecular fingerprints for exploring the chemical space of natural products - out now in @jcheminf. Thanks to all the co-authors involved for this nice collaboration ! @molecularML @MiChemQSAR @fra_grisoni jcheminf.biomedcentral.com/articles/10.11…
@pschwllr @fra_grisoni Nice shot! I didn't notice the crowdedness of the room while presenting, hahaha 😂
@pschwllr @Rza_ozcelik Wow 🤩 #proudPI Thanks for sharing @pschwllr 💙
A packed room and exciting talks - the 4th @appliedmldays AI & the Molecular World track was a full success! Many thanks to the excellent speakers, to the participants, and to @RebeccaNeeser @igashov @rneschneuing @damiano_sga and @befcorreia for the organisation! #AMLD2024EPFL
The #AMLDEPFL2024 AI & Molecular World track has started! After @RebeccaNeeser's introduction, @BrianHie gave a fascinating talk on Evo - a genome-scale LLM! @appliedmldays
Look at that @fra_grisoni - this is @Rza_ozcelik presenting his work 🤩
On the track "AI and the Molecular World" 🧪, @Rza_ozcelik from @TUeindhoven showcases the capacity of Chemical Language Models in the creation of new molecules by de novo design. Those bioactive compounds are then used in drug research and discovery. #AMLDEPFL2024
This was a nice opportunity to talk about our latest work @molecularML. I'll be at the venue until the end of the day. Let's connect if you are around! 🙂
On the track "AI and the Molecular World" 🧪, @Rza_ozcelik from @TUeindhoven showcases the capacity of Chemical Language Models in the creation of new molecules by de novo design. Those bioactive compounds are then used in drug research and discovery. #AMLDEPFL2024
So proud of Tom Kuster! 🎓 He’s the first student from our group to defend his Master thesis, and he did an outstanding job. I am so excited that he’ll be the first PhD student of the Schnitzer Lab starting next week. 🥳🥳🥳
A bit more than two weeks left to apply 👇 Join us @molecularML to push the boundaries of structure-based drug discovery! 💪🏻
📢 Open #postdoc position on my team @molecularML 🚀 Do you want to stretch the boundaries of #protein representation learning for drug discovery? Do you have expertise in #deeplearning? 👉Then this position might be for you: reach out via DM! Repost appreciated 🙏
Here’s the full description jobs.tue.nl/en/vacancy/pos…