Advances in computational protein design

by: Sheldon Park, Xi Yang, Jeffery G Saven

Current Opinion in Structural Biology, Vol. 14, No. 4. (August 2004), pp. 487-494.

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Abstract

Computational protein design continues to experience a variety of methodological advances. Several improvements have been suggested for the objective functions used to quantify sequence/structure compatibility. Disparate design strategies based upon dead-end elimination, simulated annealing and statistical design have each recently yielded striking successes involving de novo designed proteins with sizes on the order of 100 residues or greater. Such methods may be used to design new proteins, as well as to redesign natural proteins to facilitate structural and biophysical studies.

@article{citeulike:581021, abstract = {Computational protein design continues to experience a variety of methodological advances. Several improvements have been suggested for the objective functions used to quantify sequence/structure compatibility. Disparate design strategies based upon dead-end elimination, simulated annealing and statistical design have each recently yielded striking successes involving de novo designed proteins with sizes on the order of 100 residues or greater. Such methods may be used to design new proteins, as well as to redesign natural proteins to facilitate structural and biophysical studies.}, author = {Park, Sheldon and Yang, Xi and Saven, Jeffery G. }, citeulike-article-id = {581021}, doi = {http://dx.doi.org/10.1016/j.sbi.2004.06.002}, journal = {Current Opinion in Structural Biology}, keywords = {protein\_design}, month = {August}, number = {4}, pages = {487--494}, posted-at = {2008-03-27 12:23:05}, priority = {2}, title = {Advances in computational protein design}, url = {http://dx.doi.org/10.1016/j.sbi.2004.06.002}, volume = {14}, year = {2004} }

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TY - JOUR ID - citeulike:581021 L3 - citeulike-article-id:581021 TI - Advances in computational protein design JF - Current Opinion in Structural Biology VL - 14 IS - 4 SP - 487 EP - 494 N2 - Computational protein design continues to experience a variety of methodological advances. Several improvements have been suggested for the objective functions used to quantify sequence/structure compatibility. Disparate design strategies based upon dead-end elimination, simulated annealing and statistical design have each recently yielded striking successes involving de novo designed proteins with sizes on the order of 100 residues or greater. Such methods may be used to design new proteins, as well as to redesign natural proteins to facilitate structural and biophysical studies. KW - protein_design AU - Park, Sheldon AU - Yang, Xi AU - Saven, Jeffery PY - 2004/08// UR - http://dx.doi.org/10.1016/j.sbi.2004.06.002 ER -

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