Sample-Based Models of Protein Energy Landscapes and Slow Structural Rearrangements

Author:

Maximova Tatiana1,Zhang Zijing2,Carr Daniel B.2,Plaku Erion3,Shehu Amarda145

Affiliation:

1. Department of Computer Science, George Mason University, Fairfax, Virginia.

2. Department of Statistics, George Mason University, Fairfax, Virginia.

3. Department of Electrical Engineering and Computer Science, The Catholic University of America, Washington, D.C.

4. Department of Bioengineering, George Mason University, Fairfax, Virginia.

5. School of Systems Biology, George Mason University, Manassas, Virginia.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data Size and Quality Matter: Generating Physically-Realistic Distance Maps of Protein Tertiary Structures;Biomolecules;2022-06-29

2. Space partitioning and regression maxima seeking via a mean-shift-inspired algorithm;Electronic Journal of Statistics;2022-01-01

3. Adaptive Stochastic Optimization to Improve Protein Conformation Sampling;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021

4. Evaluating Autoencoder-Based Featurization and Supervised Learning for Protein Decoy Selection;Molecules;2020-03-04

5. Learning Reduced Latent Representations of Protein Structure Data;Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics;2019-09-04

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