A Statistical Framework for Hierarchical Methods in Molecular Simulation and Design-Reference-Cited by-同舟云学术

A Statistical Framework for Hierarchical Methods in Molecular Simulation and Design

Published:2010-04-09 Issue:5 Volume:6 Page:1682-1697
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Green David F.¹

Affiliation:

1. Department of Applied Mathematics and Statistics and Graduate Program in Biochemistry and Structural Biology, Stony Brook University, Stony Brook, New York 11794-3600

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/ct9004504

Reference36 articles.

1. Computational Protein Design: A Novel Path to Future Protein Drugs

2. Creating Functional Artificial Proteins

3. Molecular engineering: An approach to the development of general capabilities for molecular manipulation

4. Molecular technology: Designing proteins and peptides

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