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Protein Folding

Papers

Showing 150 of 185 papers

TitleStatusHype
Robust deep learning based protein sequence design using ProteinMPNNCode3
Highly accurate protein structure prediction with AlphaFoldCode3
MegaFold: System-Level Optimizations for Accelerating Protein Structure Prediction ModelsCode2
ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone GenerationCode2
PyMOLfold: Interactive Protein and Ligand Structure Prediction in PyMOLCode2
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path SamplingCode2
State-specific protein-ligand complex structure prediction with a multi-scale deep generative modelCode2
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and GaugesCode2
Probably Approximately Correct LabelsCode1
Mask prior-guided denoising diffusion improves inverse protein foldingCode1
Bridge-IF: Learning Inverse Protein Folding with Markov BridgesCode1
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein EngineeringCode1
Progressive Multi-Modality Learning for Inverse Protein FoldingCode1
Mega-scale experimental analysis of protein folding stability in biology and designCode1
Solvent: A Framework for Protein FoldingCode1
Graph Denoising Diffusion for Inverse Protein FoldingCode1
Enhancing the Protein Tertiary Structure Prediction by Multiple Sequence Alignment GenerationCode1
Towards Expert-Level Medical Question Answering with Large Language ModelsCode1
PS4: a Next-Generation Dataset for Protein Single Sequence Secondary Structure PredictionCode1
Pareto Dominance Archive and Coordinated Selection Strategy-Based Many-Objective Optimizer for Protein Structure PredictionCode1
Protein Language Models and Structure Prediction: Connection and ProgressionCode1
AlphaFold Distillation for Protein DesignCode1
Efficient Architecture Search for Diverse TasksCode1
AlphaDesign: A graph protein design method and benchmark on AlphaFoldDBCode1
ParaFold: Paralleling AlphaFold for Large-Scale PredictionsCode1
Rethinking Neural Operations for Diverse TasksCode1
TorchMD: A deep learning framework for molecular simulationsCode1
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein StructuresCode1
PolyFold: an interactive visual simulator for distance-based protein foldingCode1
Central Dogma Cycle and Network: A Model for Cell Memory0
Protein Inverse Folding From Structure Feedback0
Protein folding classes -- High-dimensional geometry of amino acid composition space revisited0
P: A Universal Measure of Predictive Intelligence0
Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression0
Predicting protein folding dynamics using sequence information0
DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design0
LightNobel: Improving Sequence Length Limitation in Protein Structure Prediction Model via Adaptive Activation Quantization0
Hallucination, reliability, and the role of generative AI in science0
Lattice Protein Folding with Variational Annealing0
A Novel P-bit-based Probabilistic Computing Approach for Solving the 3-D Protein Folding Problem0
Fluorescence Phasor Analysis: Basic Principles and Biophysical Applications0
Inferring protein folding mechanisms from natural sequence diversity0
Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab0
Learning dynamical systems from data: Gradient-based dictionary optimization0
Generalized Flow Matching for Transition Dynamics Modeling0
RapidDock: Unlocking Proteome-scale Molecular Docking0
LoRTA: Low Rank Tensor Adaptation of Large Language Models0
Spectral Map for Slow Collective Variables, Markovian Dynamics, and Transition State Ensembles0
Self-folding Self-replication0
Optimal Strategy for Stabilizing Protein Folding Intermediates0
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