Ensemble-based computational approach discriminates functional activity of p53 cancer and rescue mutants

PLoS Computational Biology

Volumn 7, Issue 10, 2011, Pages

  Demir, Özlem ^a   Baronio, Roberta ^b   Salehi, Faezeh ^b,c   Wassman, Christopher D ^b,c   Hall, Linda ^b   Hatfield, G Wesley ^b   Chamberlin, Richard ^a   Kaiser, Peter ^b   Lathrop, Richard H ^b,c   Amaro, Rommie E ^a,b,c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; DISEASES; PROTEINS; RESTORATION;

CANCER MUTANTS; COMPUTATIONAL APPROACH; DNA-BINDING DOMAIN; FUNCTIONAL ACTIVITIES; GLOBAL MEASURES; NUMBER OF CLUSTERS; PROTEIN FLEXIBILITY; SINGLE POINT; STRUCTURAL DETAILS; TUMOR SUPPRESSOR PROTEINS;

MOLECULAR DYNAMICS;

PROTEIN P53;

ARTICLE; CELL ASSAY; CLUSTER ANALYSIS; CONTROLLED STUDY; IN VIVO STUDY; MATHEMATICAL COMPUTING; MOLECULAR DYNAMICS; MUTANT; MUTATION; MUTATIONAL ANALYSIS; NEOPLASM; PROTEIN DNA BINDING; PROTEIN DOMAIN; PROTEIN FUNCTION; PROTEIN STABILITY; RESCUE MUTATION; THERMODYNAMICS; THERMOSTABILITY; WILD TYPE; CHEMICAL STRUCTURE; GENETICS; HUMAN; PROTEIN BINDING; PROTEIN CONFORMATION;

HUMANS; MODELS, MOLECULAR; MOLECULAR DYNAMICS SIMULATION; MUTATION; NEOPLASMS; PROTEIN BINDING; PROTEIN CONFORMATION; TUMOR SUPPRESSOR PROTEIN P53;

EID: 80055090215     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002238     Document Type: Article

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