Molecular Recognition: Computational Analysis and Modelling

Abstract:

Abstract Molecular recognition is critical to many fundamental processes in biology, including enzymatic reactions, signal transduction, genetic information processing, as well as molecular and cellular transport. The question of how proteins selectively recognize and correctly associate with their partners is an active research problem. For many proteins, experimental information about the structures of their molecular complexes and the details of their interactions are lacking. Macromolecular, structure-based computational techniques provide a means to predict the interactions of proteins and to investigate their recognition mechanisms. Here, we first discuss the general mechanism of molecular recognition as a multistep process from diffusion of one molecule toward the second to tight complex formation. We then describe the main forces and the physical properties that govern biomolecular interactions and introduce the principles of modeling them. Finally, simulation methods and computational approaches for molecular docking are briefly presented.

SEEK ID: https://publications.h-its.org/publications/1129

DOI: 10.1002/9780470048672.wecb354

Research Groups: Molecular and Cellular Modeling

Publication type: InBook

Book Title: Wiley Encyclopedia of Chemical Biology

Publisher: American Cancer Society

Citation: In Wiley Encyclopedia of Chemical Biology, T.P. Begley (Ed.), 1-10, John Wiley & Sons, Inc.

Date Published: 14th Dec 2007

URL: https://onlinelibrary.wiley.com/doi/abs/10.1002/9780470048672.wecb354

Registered Mode: imported from a bibtex file

Authors: Anna Feldman-Salit, Rebecca C. Wade

Citation
Feldman‐Salit, A., & Wade, R. C. (2008). Molecular Recognition: Computational Analysis and Modelling. In Wiley Encyclopedia of Chemical Biology (pp. 1–10). Wiley. https://doi.org/10.1002/9780470048672.wecb354
Activity

Views: 5535

Created: 14th Apr 2020 at 21:00

Last updated: 5th Mar 2024 at 21:24

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
(v.1.14.2)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH