Improved contact prediction in proteins: Using pseudolikelihoods to infer Potts models

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 87, Issue 1, 2013, Pages

  Ekeberg, Magnus ^a   Lövkvist, Cecilia ^b   Lan, Yueheng ^c   Weigt, Martin ^d   Aurell, Erik ^a,b,e  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b ALBANOVA UNIVERSITY CENTER   (Sweden)

^c TSINGHUA UNIVERSITY   (China)

^d SORBONNE UNIVERSITÉ   (France)

^e AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

3D STRUCTURE; COUPLING STRENGTHS; DATA BANK; INDIRECT INTERACTIONS; LARGE SYSTEM; MEAN-FIELD; MODEL PARAMETERS; PROTEIN FAMILY; PROTEIN SEQUENCES; PSEUDO-LIKELIHOOD; SPECIFIC SEQUENCES; STATISTICAL INFERENCE; STATISTICAL PROPERTIES; STRUCTURAL BIOLOGY; THREE DIMENSIONAL (3D) STRUCTURES;

AMINO ACIDS; INVERSE PROBLEMS; POTTS MODEL; REVERSE ENGINEERING; STATISTICAL MECHANICS; THREE DIMENSIONAL COMPUTER GRAPHICS;

PROTEINS;

PROTEIN;

ARTICLE; BINDING SITE; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; METHODOLOGY; PROTEIN ANALYSIS; PROTEIN BINDING; STATISTICAL MODEL; ULTRASTRUCTURE;

BINDING SITES; COMPUTER SIMULATION; MODELS, CHEMICAL; MODELS, MOLECULAR; MODELS, STATISTICAL; PROTEIN BINDING; PROTEIN INTERACTION MAPPING; PROTEINS;

EID: 84872521100     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.87.012707     Document Type: Article

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