SPINE: An integrated tracking database and data mining approach for identifying feasible targets in high-throughput structural proteomics

Nucleic Acids Research

Volumn 29, Issue 13, 2001, Pages 2884-2898

  Bertone, Paul ^a   Kluger, Yuval ^a   Lan, Ning ^a   Zheng, Deyou ^b   Christendat, Dinesh ^c   Yee, Adelinda ^c   Edwards, Aled M ^c   Arrowsmith, Cheryl H ^c   Montelione, Gaetano T ^b   Gerstein, Mark ^a  

^a YALE UNIVERSITY   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

PROTEOME;

AMINO ACID SEQUENCE; ANALYTICAL ERROR; ARTICLE; BIOPHYSICS; CAENORHABDITIS ELEGANS; CONTROLLED STUDY; CRYSTALLIZATION; DATA BASE; HYDROPHOBICITY; INTERNET; LEARNING; MEDICAL DECISION MAKING; METHANOBACTERIUM THERMOAUTOTROPHICUM; MOLECULAR CLONING; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PREDICTION; PRIORITY JOURNAL; PROTEIN EXPRESSION; PROTEIN PURIFICATION; PROTEIN STRUCTURE; RETROSPECTIVE STUDY; SACCHAROMYCES CEREVISIAE; SOLUBILITY; STANDARDIZATION; VALIDATION PROCESS; X RAY CRYSTALLOGRAPHY;

CAENORHABDITIS ELEGANS; METHANOBACTERIUM; METHANOTHERMOBACTER THERMAUTOTROPHICUS; SACCHAROMYCES CEREVISIAE;

EID: 0035394771     PISSN: 03051048     EISSN: None     Source Type: Journal    
DOI: 10.1093/nar/29.13.2884     Document Type: Article

References (38)

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