Combining Evolutionary Information and an Iterative Sampling Strategy for Accurate Protein Structure Prediction

PLoS Computational Biology

Volumn 11, Issue 12, 2015, Pages

  Braun, Tatjana ^a,c   Koehler Leman, Julia ^b   Lange, Oliver F ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b Johns Hopkins University   (United States)

^c FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; PROTEINS;

AB INITIO; AB INITIO STRUCTURE PREDICTIONS; EVOLUTIONARY INFORMATION; HIGH ROBUSTNESS; PREDICTION ACCURACY; PROTEIN RESIDUES; PROTEIN STRUCTURE PREDICTION; ROSETTA; SAMPLING STRATEGIES; STRUCTURE PREDICTION;

FORECASTING;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; COMPARATIVE STUDY; GENETIC RECOMBINATION; INFORMATION PROCESSING; INTEGRATING EVOLUTIONARY INFORMATION; PREDICTION; PROCESS DEVELOPMENT; PROTEIN STRUCTURE; QUALITY CONTROL; SEQUENCE ANALYSIS; WEB BROWSER; BIOLOGY; CHEMISTRY; MOLECULAR EVOLUTION; MOLECULAR MODEL; PROCEDURES; PROTEIN CONFORMATION; PROTEIN DATABASE; SOFTWARE;

PROTEIN;

AMINO ACID SEQUENCE; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; EVOLUTION, MOLECULAR; MODELS, MOLECULAR; PROTEIN CONFORMATION; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 84953267041     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004661     Document Type: Article

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