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Protein Folding

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Showing 51–100 of 185 papers

TitleStatusHype
Forming native shortcut networks to simulate protein folding—0
Foundation Inference Models for Markov Jump Processes—0
Friends in need: how chaperonins recognize and remodel proteins that require folding assistance—0
From evolution to folding of repeat proteins—0
GANs and Closures: Micro-Macro Consistency in Multiscale Modeling—0
Generalization Properties of Retrieval-based Models—0
Generalized Flow Matching for Transition Dynamics Modeling—0
Genetic prediction of quantitative traits: a machine learner's guide focused on height—0
Geometric Signatures of Switching Behavior in Mechanobiology—0
GPU accelerated enumeration and exploration of HP model genotype-phenotype maps for protein folding—0
GraphVAMPNet, using graph neural networks and variational approach to markov processes for dynamical modeling of biomolecules—0
Hallucination, reliability, and the role of generative AI in science—0
Inferring protein folding mechanisms from natural sequence diversity—0
Intra-protein binding peptide fragments have specific and intrinsic sequence patterns—0
Introduction to Protein Folding—0
Introduction to Protein Structure—0
Invariance-Aware Randomized Smoothing Certificates—0
Inverse Protein Folding Using Deep Bayesian Optimization—0
Lattice Protein Folding with Variational Annealing—0
Learning dynamical systems from data: Gradient-based dictionary optimization—0
Learning Geometrically Disentangled Representations of Protein Folding Simulations—0
Learning noise-induced transitions by multi-scaling reservoir computing—0
Learning Protein Structure with a Differentiable Simulator—0
LightNobel: Improving Sequence Length Limitation in Protein Structure Prediction Model via Adaptive Activation Quantization—0
LoRTA: Low Rank Tensor Adaptation of Large Language Models—0
Machine Learning and Big Scientific Data—0
Machine learning for protein folding and dynamics—0
Mimetic Neural Networks: A unified framework for Protein Design and Folding—0
Molecular Diffusion Models with Virtual Receptors—0
Molecular information theory meets protein folding—0
Multi-level Protein Representation Learning for Blind Mutational Effect Prediction—0
Neighborhood Information-based Probabilistic Algorithm for Network Disintegration—0
Normalizing Flows on Riemannian Manifolds—0
On the Robustness of AlphaFold: A COVID-19 Case Study—0
On the scale-free nature of RNA secondary structure networks—0
Optimal Strategy for Stabilizing Protein Folding Intermediates—0
Weighted persistent homology for osmolyte molecular aggregation and hydrogen-bonding network analysis—0
AbODE: Ab Initio Antibody Design using Conjoined ODEs—0
Accelerated Sampling of Rare Events using a Neural Network Bias Potential—0
Coupling streaming AI and HPC ensembles to achieve 100-1000x faster biomolecular simulations—0
Adaptive Markov State Model estimation using short reseeding trajectories—0
A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop—0
A maximum-caliber approach to predicting perturbed folding kinetics due to mutations—0
A method for partitioning the information contained in a protein sequence between its structure and function—0
Analysis and prediction of protein folding energy changes upon mutation by element specific persistent homology—0
Analysis of proteins in the light of mutations—0
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism—0
An Evaluation of Real-time Adaptive Sampling Change Point Detection Algorithm using KCUSUM—0
A Novel P-bit-based Probabilistic Computing Approach for Solving the 3-D Protein Folding Problem—0
A Tale of Two Desolvation Potentials: An Investigation of Protein Behavior Under High Hydrostatic Pressure—0
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