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Protein Folding
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Central Dogma Cycle and Network: A Model for Cell Memory
Probably Approximately Correct Labels
Protein Inverse Folding From Structure Feedback
Protein folding classes -- High-dimensional geometry of amino acid composition space revisited
P: A Universal Measure of Predictive Intelligence
Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression
Predicting protein folding dynamics using sequence information
DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design
LightNobel: Improving Sequence Length Limitation in Protein Structure Prediction Model via Adaptive Activation Quantization
Hallucination, reliability, and the role of generative AI in science
Lattice Protein Folding with Variational Annealing
A Novel P-bit-based Probabilistic Computing Approach for Solving the 3-D Protein Folding Problem
ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
Fluorescence Phasor Analysis: Basic Principles and Biophysical Applications
PyMOLfold: Interactive Protein and Ligand Structure Prediction in PyMOL
Inferring protein folding mechanisms from natural sequence diversity
Mask prior-guided denoising diffusion improves inverse protein folding
Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab
Learning dynamical systems from data: Gradient-based dictionary optimization
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges
Generalized Flow Matching for Transition Dynamics Modeling
RapidDock: Unlocking Proteome-scale Molecular Docking
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
LoRTA: Low Rank Tensor Adaptation of Large Language Models
Spectral Map for Slow Collective Variables, Markovian Dynamics, and Transition State Ensembles
TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
Self-folding Self-replication
Optimal Strategy for Stabilizing Protein Folding Intermediates
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames
Molecular Diffusion Models with Virtual Receptors
Foundation Inference Models for Markov Jump Processes
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours
The Origin of Mutational Epistasis
Clustering for Protein Representation Learning
SGNet: Folding Symmetrical Protein Complex with Deep Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.