Predicting the conformation of proteins. Man versus machine.
Two types of approaches for predicting the conformation of proteins from sequence data have lately received attention: 'black box' tools that generate fully automated predictions of secondary structure from a set of homologous protein sequences, and methods involving the expertise of a human biochemist who is assisted, but not replaced, by computer tools. A friendly controversy has emerged as to which approach offers a brighter future. In fact, both are necessary. Nevertheless, a snapshot of the controversy at this instant offers much insight into the structure prediction problem itself.
Benner
S A
SA
Laboratory for Organic Chemistry, E.T.H. Zurich, Switzerland.
Gerloff
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DL
D000595:Amino Acid Sequence; D016384:Consensus Sequence; D008958:Models, Molecular; D008969:Molecular Sequence Data; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D017386:Sequence Homology, Amino Acid; D013049:Spectrin / Q000737:chemistry*
D013049:Spectrin