🏛️ The q-bio.BM Crypt
q-bio.BM: Where q-bio.BM papers rest without their code.
182
Total Papers
131
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5
Twilight
46
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25.3%
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Protein secondary structure prediction using deep convolutional neural fields
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Protein structure generation via folding diffusion
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LinearFold: linear-time approximate RNA folding by 5'-to-3' dynamic programming and beam search
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What is a meaningful representation of protein sequences?
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Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks
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Machine Learning Coarse-Grained Potentials of Protein Thermodynamics
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DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
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InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery
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DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
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Folding membrane proteins by deep transfer learning
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Is Transfer Learning Necessary for Protein Landscape Prediction?
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LinearPartition: Linear-Time Approximation of RNA Folding Partition Function and Base Pairing Probabilities
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Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information
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Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts
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Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions
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Structure-based drug discovery with deep learning
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Energy-based Graph Convolutional Networks for Scoring Protein Docking Models
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Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins
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Near Perfect Protein Multi-Label Classification with Deep Neural Networks
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Inverse folding for antibody sequence design using deep learning
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Docking-based generative approaches in the search for new drug candidates
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RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions
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