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Protein Folding

Papers

Showing 151–185 of 185 papers

TitleStatusHype
Quadratic Optimization-Based Nonlinear Control for Protein Conformation Prediction—0
RapidDock: Unlocking Proteome-scale Molecular Docking—0
Rare-Event Sampling of Epigenetic Landscapes and Phenotype Transitions—0
Recursive Decomposition for Nonconvex Optimization—0
Rethinking the protein folding problem from a new perspective—0
RoMA: a Method for Neural Network Robustness Measurement and Assessment—0
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours—0
Selection originating from protein stability/foldability: Relationships between protein folding free energy, sequence ensemble, and fitness—0
Selectivity of Protein Interactions Stimulated by Terahertz Signals—0
Self-folding Self-replication—0
SGNet: Folding Symmetrical Protein Complex with Deep Learning—0
Sign Gradient Descent Algorithms for Kinetostatic Protein Folding—0
Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression—0
Message Scheduling for Performant, Many-Core Belief PropagationCode0
Machine learning in and out of equilibriumCode0
Variational Encoding of Complex DynamicsCode0
Learning Collective Variables with Synthetic Data Augmentation through Physics-Inspired Geodesic InterpolationCode0
A Parallel Trajectory Swapping Wang - Landau Study Of The HP Protein ModelCode0
TorchProteinLibrary: A computationally efficient, differentiable representation of protein structureCode0
Reassessing the Exon-Foldon correspondence using Frustration AnalysisCode0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Simultaneous Coherent Structure Coloring facilitates interpretable clustering of scientific data by amplifying dissimilarityCode0
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein FoldingCode0
Clustering for Protein Representation LearningCode0
A fast and simple modification of Newton's method helping to avoid saddle pointsCode0
A Study of Acquisition Functions for Medical Imaging Deep Active LearningCode0
Applying Deep Reinforcement Learning to the HP Model for Protein Structure PredictionCode0
TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative ModelsCode0
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning ModelCode0
Geometric constraints in protein foldingCode0
Generative Models for Graph-Based Protein DesignCode0
Reinforcement Learning for Molecular Dynamics Optimization: A Stochastic Pontryagin Maximum Principle ApproachCode0
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise AnnotationsCode0
Disentangled Dynamic Graph Deep GenerationCode0
QFold: Quantum Walks and Deep Learning to Solve Protein FoldingCode0
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