Computational methods in protein structure prediction.

@article{citeulike:1533855, abstract = {This review presents the advances in protein structure prediction from the computational methods perspective. The approaches are classified into four major categories: comparative modeling, fold recognition, first principles methods that employ database information, and first principles methods without database information. Important advances along with current limitations and challenges are presented.}, address = {Department of Chemical Engineering, Princeton University, Princeton, New Jersey 08544-5263, USA. floudas@titan.princeton.edu}, author = {Floudas, C. A. }, citeulike-article-id = {1533855}, doi = {10.1002/bit.21411}, issn = {0006-3592}, journal = {Biotechnol Bioeng}, keywords = {fold, prediction, protein, recognition, structure}, month = {June}, number = {2}, pages = {207--213}, posted-at = {2007-08-03 20:43:10}, priority = {2}, title = {Computational methods in protein structure prediction.}, url = {http://dx.doi.org/10.1002/bit.21411}, volume = {97}, year = {2007} }

TY - JOUR ID - citeulike:1533855 L3 - citeulike-article-id:1533855 TI - Computational methods in protein structure prediction. JF - Biotechnol Bioeng VL - 97 IS - 2 SP - 207 EP - 213 AD - Department of Chemical Engineering, Princeton University, Princeton, New Jersey 08544-5263, USA. floudas@titan.princeton.edu SN - 0006-3592 N2 - This review presents the advances in protein structure prediction from the computational methods perspective. The approaches are classified into four major categories: comparative modeling, fold recognition, first principles methods that employ database information, and first principles methods without database information. Important advances along with current limitations and challenges are presented. KW - fold KW - prediction KW - protein KW - recognition KW - structure AU - Floudas, CA PY - 2007/06/01/ UR - http://dx.doi.org/10.1002/bit.21411 ER -