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Protein Folding

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Showing 51–100 of 185 papers

TitleStatusHype
Variational Encoding of Complex DynamicsCode0
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
P: A Universal Measure of Predictive Intelligence—0
Predicting protein folding dynamics using sequence information—0
Prediction of amino acid side chain conformation using a deep neural network—0
Predictive landscapes hidden beneath biological cellular automata—0
Prompt-Guided Injection of Conformation to Pre-trained Protein Model—0
Protein Folding: From Classical Issues to a New Perspective—0
Protein folding classes -- High-dimensional geometry of amino acid composition space revisited—0
Protein Folding Neural Networks Are Not Robust—0
Protein Folding Optimization using Differential Evolution Extended with Local Search and Component Reinitialization—0
Protein folding simulations in the hydrophobic-polar model using a hybrid cuckoo search algorithm—0
Protein Folding/Unfolding Phenomenon is originated by Synchronization/Desynchronization of Instantaneously Induced Oscillating Dipoles. A Hypothesis—0
Protein Inverse Folding From Structure Feedback—0
Protein residue networks from a local search perspective—0
Quadratic Optimization-Based Nonlinear Control for Protein Conformation Prediction—0
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