🏛️ The q-bio.BM Crypt
q-bio.BM: Where q-bio.BM papers rest without their code.
186
Total Papers
131
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Twilight
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Predicting protein inter-residue contacts using composite likelihood maximization and deep learning
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Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact Prediction
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Deep learning is competing random forest in computational docking
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PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction
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APACE: AlphaFold2 and advanced computing as a service for accelerated discovery in biophysics
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Accelerating Antimicrobial Peptide Discovery with Latent Structure
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Compound virtual screening by learning-to-rank with gradient boosting decision tree and enrichment-based cumulative gain
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LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides
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Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure
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Molecular Graph Generation by Decomposition and Reassembling
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Accurate, reliable and interpretable solubility prediction of druglike molecules with attention pooling and Bayesian learning
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LinearCoFold and LinearCoPartition: Linear-Time Algorithms for Secondary Structure Prediction of Interacting RNA molecules
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Mask prior-guided denoising diffusion improves inverse protein folding
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GEO-Nav: a geometric dataset of voltage-gated sodium channels
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Discovering Synergistic Drug Combinations for COVID with Biological Bottleneck Models
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Predicting membrane protein contacts from non-membrane proteins by deep transfer learning
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Towards a Better Model with Dual Transformer for Drug Response Prediction
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OpenMS WebApps: Building User-Friendly Solutions for MS Analysis
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Machine learning and natural language processing models to predict the extent of food processing
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GNNAS-Dock: Budget Aware Algorithm Selection with Graph Neural Networks for Molecular Docking
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Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
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A Review of Deep Learning Techniques for Protein Function Prediction
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