NODEL @nodeldesign
A feed about m(odel)ing the (n)atural world. Massachusetts, USA Joined April 2022-
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“Abstract representations emerge naturally in neural networks trained to perform multiple tasks”, by W. Jeffrey Johnston and Stefano Fusi #deeplearning #AI #Bioinformatics nature.com/articles/s4146…
[TALK] "Machine learning-based design (of proteins, small molecules and beyond)," by Jennifer Listgarten & hosted by IAS #DeepLearning #Bioinformatics youtu.be/mkCyu6-N93k
“A General Approach to Seismic Inversion with Automatic Differentiation,” by Weiqiang Zhu and Kailai Xu et al. #arXiv #DeepLearning arxiv.org/abs/2003.06027
🚨PAPER ALERT🚨 Introducing PocketMiner, a fast, accurate tool for predicting the locations of cryptic pockets from single protein structures. PocketMiner is a graph neural network whose speed enables proteome-wide predictions. #compchem #DeepLearning tinyurl.com/4c2jusr2
I am excited to finally share Bento, our toolkit for subcellular analysis of spatial transcriptomics data! @NoorsherAhmed biorxiv.org/content/10.110… (1/8)
"Serverless Prediction of Peptide Properties with Recurrent Neural Networks," by Mehrad Ansari and Andrew D. White #Bioinformatics #DeepLearning #bioRxiv biorxiv.org/content/10.110…
[TALK] "A deep learning approach to structural variant discovery," by Victoria Popic and Chris Rohlicek & hosted by @broadinstitute MIA #MachineLearning #Bioinformatics #AI youtu.be/EVlLqig3qEI
This mind-blowing research in @Nature shows that machine learning can effectively guide enzyme optimization and help create enzymes that degrade all kinds of plastic waste in record time 🤯nature.com/articles/s4158…
“DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction,” by Yin et al. #Bioinformatics #drugdiscovery #bioRxiv biorxiv.org/content/10.110…
"Fluid-driven transport of round sediment particles: from discrete simulations to continuum modeling," by Zhang et al. #Geoscience #Earth #arXiv eartharxiv.org/repository/vie…
(1) I am pleased to share our BayesPrism algorithm in collaboration with the @charlesdanko lab, lead by the amazing @tinyichu who demonstrated incredible independence, innovation and technical chops in this work nature.com/articles/s4301…
“Simulate Time-integrated Coarse-grained Molecular Dynamics with Geometric Machine Learning,” by Xiang Fu and Tian Xie et al. #Bioinformatics #arXiv arxiv.org/abs/2204.10348
“GeneVector: Identification of transcriptional programs using dense vector representations defined by mutual information,” by Ceglia et al. #Bioinformatics #Genomics #bioRxiv biorxiv.org/content/10.110…
[TALK] “Geometric deep learning for functional protein design,” by Michael Bronstein & hosted by @the_IAS #MachineLearning #AI #Bioinformatics youtu.be/dUE-n_aSjJA
Excited to share IgFold, our new method for fast, accurate antibody structure prediction! IgFold achieves state-of-the-art accuracy for conventional paired antibodies and provides useful error estimates for its structures. biorxiv.org/content/10.110…
“Biocosmology: Towards the birth of a new science,” by Cortês et al. #Biology #arXiv arxiv.org/abs/2204.09378
"CREIME: A Convolutional Recurrent Model for Earthquake Identification and Magnitude Estimation," by Chakraborty et al. #MachineLearning #AI #Geoscience #DeepLearning #arXiv arxiv.org/abs/2204.02924
“Fragment-Based Ligand Generation Guided By Geometric Deep Learning On Protein-Ligand Structure,” by Alexander S. Powers, Helen H. Yu, Patricia Suriana, and Ron O. Dror #Bioinformatics #MachineLearning #AI #bioRxiv biorxiv.org/content/10.110…
"DeepRank-GNN: A Graph Neural Network Framework to Learn Patterns in Protein-Protein Interfaces," by M. Réau and N. Renaud et al. #Bioinformatics #MachineLearning #AI #bioRxiv biorxiv.org/content/10.110…
[TALK] “Representational Power of Graph Neural Networks,” by Stefanie Jegelka & hosted by the Institute for Advanced Study #MachineLearning #DeepLearning #AI youtu.be/USfNJNePDKQ

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Titelet @Titelet189571
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Information MDPI @InformationMDPI
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Nathan Higginson-Scot... @NHigginsonScott
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KARAMAN RESEARCH GROU... @karaman_lab
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Matt @MatthewM129
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Nortis Inc. @NortisInc
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Pierfrancesco Beneven... @PierBeneventano
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Dr. Nandan Kumar @NandanDuddukuri
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secincident daily @SecincidentD
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Sergey Ovchinnikov @sokrypton
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BioDecoded @BioDecoded
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Kevin K. Yang 楊凱�... @KevinKaichuang
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Noelia Ferruz @ferruz_noelia
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Ming "Tommy" Tang @tangming2005
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bioRxiv @biorxivpreprint
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Machine learning for ... @ml4proteins
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Kresten Lindorff-Lars... @LindorffLarsen
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Oxford Nanopore @nanopore
66K Followers 9K Following 🌍Direct DNA/RNA analysis for anyone, anywhere 🧬Short to ultra-long reads in real-time for rapid insights 🔬Products for research use only
Caroline Lynn Kamerli... @kamerlinlab
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Daniel Probst @skepte... @skepteis
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GenomeResearch @ResearchGenome
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Adrian Bunzel 🇪�... @AdrianBunzel
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