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Protein Folding

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Showing 101–150 of 185 papers

TitleStatusHype
RapidDock: Unlocking Proteome-scale Molecular Docking—0
Rare-Event Sampling of Epigenetic Landscapes and Phenotype Transitions—0
Recursive Decomposition for Nonconvex Optimization—0
Rethinking the protein folding problem from a new perspective—0
RoMA: a Method for Neural Network Robustness Measurement and Assessment—0
ScaleFold: Reducing AlphaFold Initial Training Time to 10 Hours—0
Selection originating from protein stability/foldability: Relationships between protein folding free energy, sequence ensemble, and fitness—0
Selectivity of Protein Interactions Stimulated by Terahertz Signals—0
Self-folding Self-replication—0
SGNet: Folding Symmetrical Protein Complex with Deep Learning—0
Sign Gradient Descent Algorithms for Kinetostatic Protein Folding—0
Simultaneous Modeling of Protein Conformation and Dynamics via Autoregression—0
Solvent Effects in the Helix-Coil Transition Model can explain the Unusual Biophysics of Intrinsically Disordered Proteins—0
Solving the HP model with Nested Monte Carlo Search—0
Spectral Map for Slow Collective Variables, Markovian Dynamics, and Transition State Ensembles—0
Structural Learning for Template-free Protein Folding—0
Structure-based prediction of protein-folding transition paths—0
Terahertz Induced Protein Interactions in a Random Medium—0
The finite size effects and the two-state paradigm of protein folding—0
The impact of hydrodynamic interactions on protein folding rates depends on temperature—0
The known unknowns of the Hsp90 chaperone—0
The Origin of Mutational Epistasis—0
Thermodynamics of Protein Folding—0
The role of hydrophobic interactions in folding of β-sheets—0
The short-cut network within protein residue networks—0
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics—0
Two-phase protein folding optimization on a three-dimensional AB off-lattice model—0
Understanding the Capabilities of Large Language Models for Automated Planning—0
Unsupervised and Supervised Structure Learning for Protein Contact Prediction—0
Using Residual Dipolar Couplings from Two Alignment Media to Detect Structural Homology—0
Validation of an LLM-based Multi-Agent Framework for Protein Engineering in Dry Lab and Wet Lab—0
Variational embedding of protein folding simulations using gaussian mixture variational autoencoders—0
Variational Quantum Algorithms for Chemical Simulation and Drug Discovery—0
A 23 MW data centre is all you need—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
A topological study of protein folding kinetics—0
Bloch spin waves and emergent structure in protein folding with HIV envelope glycoprotein as an example—0
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