Quantitative sequence-activity model (QSAM): Applying QSAR strategy to model and predict bioactivity and function of peptides, proteins and nucleic acids

Current Computer-Aided Drug Design

Volumn 4, Issue 4, 2008, Pages 311-321

  Zhou, Peng ^a,b   Tian, Feifei ^b   Wu, Yuqian ^b   Li, Zhiliang ^b   Shang, Zhicai ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b CHONGQING UNIVERSITY   (China)

Author keywords

Biosequence; QSAM; QSAR; Statistical modeling; Structural characterization

Indexed keywords

COMPUTATIONAL CHEMISTRY; METALS; NUCLEIC ACIDS; PROTEINS;

ACTIVITY MODELING; BIO-SYSTEMS; BIOSEQUENCES; FUNCTION RELATIONSHIPS; HIGH MOLECULAR WEIGHT; PEPTIDE PROTEINS; QUANTITATIVE SEQUENCE-ACTIVITY MODEL; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; STATISTIC MODELING; STRUCTURAL CHARACTERIZATION;

MOLECULAR BIOLOGY;

AMINO ACID DERIVATIVE; DIPEPTIDYL CARBOXYPEPTIDASE INHIBITOR; NUCLEIC ACID; PEPTIDE DERIVATIVE; PEPTIDE HORMONE; POLYPEPTIDE ANTIBIOTIC AGENT; PROTEIN DERIVATIVE;

BIOINFORMATICS; DRUG DESIGN; DRUG SCREENING; HUMAN; IMMUNOLOGY; MATHEMATICAL COMPUTING; MOLECULAR BIOLOGY; MOLECULAR WEIGHT; NONHUMAN; NUTRITIONAL SCIENCE; PHARMACY; PHYSICAL CHEMISTRY; PROTEIN FUNCTION; PROTEIN PROCESSING; PROTEIN PROTEIN INTERACTION; PROTEIN STRUCTURE; QUANTITATIVE SEQUENCE ACTIVITY MODEL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REVIEW; SEQUENCE ANALYSIS; SEQUENCE DATABASE; VIRTUAL REALITY;

EID: 59749084158     PISSN: 15734099     EISSN: None     Source Type: Journal    
DOI: 10.2174/157340908786785994     Document Type: Review

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