Computational methods in protein structure prediction.
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.
Floudas
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Department of Chemical Engineering, Princeton University, Princeton, New Jersey 08544-5263, USA. floudas@titan.princeton.edu
D000465:Algorithms; D000595:Amino Acid Sequence; D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D011487:Protein Conformation; D025941:Protein Interaction Mapping; D017434:Protein Structure, Tertiary; D012984:Software