Work

Predicting protein structure using only sequence information

Year: 1999

Type: article

Abstract: This paper presents results of blind predictions submitted to the CASP3 protein structure prediction experiment. We made predictions using the SAM-T98 method, an iterative hidden Markov model-based method for constructing protein family profiles. The method is purely sequence-based, using no structural information, and yet was able to predict structures as well as all but five of the structure-based methods in CASP3.

Source: Proteins Structure Function and Bioinformatics

DOI: 10.1002/(sici)1097-0134(1999)37:3+<121::aid-prot16>3.0.co;2-q

Authors: Kevin Karplus, Christian Barrett, Melissa Cline, Mark Diekhans, Leslie Grate, Richard Hughey

Institution: University of California, Santa Cruz

Language: English

Topic: Protein Structure and Dynamics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: bronze

Funders: National Science Foundation, U.S. Department of Energy

Awards: Generalized Hidden Markov Models for Protein Sequence Analysis, Protein Classification Using Hidden Markov Models