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Comparative protein modeling by satisfaction of spatial restraints

¹Rockefeller University, New York, NY 10021-6399, USA. sali@rockvax.rockefeller.edu

Molecular Medicine Today

|September 1, 1995

Summary

Homology modeling accurately predicts protein structures for a vast number of sequences, expanding applications beyond experimentally determined structures.

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Area of Science:

Structural Biology
Bioinformatics
Computational Biology

Background:

A significant portion of known protein sequences (approximately one-third) are evolutionarily related to proteins with known structures.
The number of experimentally determined protein structures is limited compared to the vast number of protein sequences available.

Purpose of the Study:

To highlight the utility and growing applications of homology modeling in predicting protein structures.
To emphasize the potential of comparative modeling to significantly increase the number of predictable protein sequences.

Main Methods:

Comparative modeling (homology modeling) techniques are employed to predict protein structures based on sequence homology.
Utilizing known protein structures as templates to model unknown sequences.

Main Results:

Homology modeling can generate structural models for an order of magnitude more sequences than experimentally determined structures.
A substantial fraction of these generated models exhibit accuracy comparable to low-resolution X-ray crystallography or medium-resolution nuclear magnetic resonance (NMR) structures.

Conclusions:

Homology modeling is a powerful tool for protein structure prediction, significantly expanding the scope beyond experimentally solved structures.
The increasing accuracy and applicability of homology modeling are driving its rapid adoption across various research areas.

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