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Protein Folding

Papers

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Showing 101–150 of 185 papers

TitleStatusHype
GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules—0
ParaFold: Paralleling AlphaFold for Large-Scale PredictionsCode1
RoMA: a Method for Neural Network Robustness Measurement and Assessment—0
Protein Folding Neural Networks Are Not Robust—0
Variational embedding of protein folding simulations using gaussian mixture variational autoencoders—0
Highly accurate protein structure prediction with AlphaFoldCode3
Exploring generative atomic models in cryo-EM reconstruction—0
Embedding Principle of Loss Landscape of Deep Neural Networks—0
Protein folding simulations in the hydrophobic-polar model using a hybrid cuckoo search algorithm—0
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models—0
Predictive landscapes hidden beneath biological cellular automata—0
Quadratic Optimization-Based Nonlinear Control for Protein Conformation Prediction—0
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and GaugesCode2
Coupling streaming AI and HPC ensembles to achieve 100-1000x faster biomolecular simulations—0
Rethinking Neural Operations for Diverse TasksCode1
Mimetic Neural Networks: A unified framework for Protein Design and Folding—0
QFold: Quantum Walks and Deep Learning to Solve Protein FoldingCode0
TorchMD: A deep learning framework for molecular simulationsCode1
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism—0
Exact Reduction of Huge Action Spaces in General Reinforcement Learning—0
The finite size effects and the two-state paradigm of protein folding—0
Disentangled Dynamic Graph Deep GenerationCode0
The role of hydrophobic interactions in folding of β-sheets—0
Protein Folding/Unfolding Phenomenon is originated by Synchronization/Desynchronization of Instantaneously Induced Oscillating Dipoles. A Hypothesis—0
Unsupervised and Supervised Structure Learning for Protein Contact Prediction—0
GPU accelerated enumeration and exploration of HP model genotype-phenotype maps for protein folding—0
Characterizing SARS-CoV-2 mutations in the United States—0
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein StructuresCode1
A fast and simple modification of Newton's method helping to avoid saddle pointsCode0
First-Passage Time Distributions in Two-State Protein Folding Kinetics: Exploring the Native-Like States vs Overcoming the Free Energy Barrier—0
TG-GAN: Continuous-time Temporal Graph Generation with Deep Generative ModelsCode0
Effect of protein structure on evolution of cotranslational folding—0
Neighborhood Information-based Probabilistic Algorithm for Network Disintegration—0
PolyFold: an interactive visual simulator for distance-based protein foldingCode1
Adaptive Markov State Model estimation using short reseeding trajectories—0
Generative Models for Graph-Based Protein DesignCode0
Machine learning for protein folding and dynamics—0
A Tale of Two Desolvation Potentials: An Investigation of Protein Behavior Under High Hydrostatic Pressure—0
Using Residual Dipolar Couplings from Two Alignment Media to Detect Structural Homology—0
Machine Learning and Big Scientific Data—0
A topological study of protein folding kinetics—0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Message Scheduling for Performant, Many-Core Belief PropagationCode0
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein FoldingCode0
Weighted persistent homology for osmolyte molecular aggregation and hydrogen-bonding network analysis—0
Learning Protein Structure with a Differentiable Simulator—0
Two-phase protein folding optimization on a three-dimensional AB off-lattice model—0
Forming native shortcut networks to simulate protein folding—0
Geometric constraints in protein foldingCode0
FoldingZero: Protein Folding from Scratch in Hydrophobic-Polar Model—0
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