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Protein Folding

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Showing 76–100 of 185 papers

TitleStatusHype
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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