QSAR model for alignment-free prediction of human breast cancer biomarkers based on electrostatic potentials of protein pseudofolding HP-lattice networks

Journal of Computational Chemistry

Volumn 29, Issue 16, 2008, Pages 2613-2622

  Vilar, Santiago ^a   González Díaz, Humberto ^a   Santana, Lourdes ^a   Uriarte, Eugenio ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

Biomarkers; Complex networks; Electrostatic potential; Graph theory; HP lattice; Human breast cancer; Linear discriminant analysis; Markov chains; Protein sequence; QSAR; Sequence alignment

Indexed keywords

ALIGNMENT; BIOCHEMISTRY; BIOPOLYMERS; DISCRIMINANT ANALYSIS; ELECTROSTATICS; FORECASTING; GRAPH THEORY; IMAGE RETRIEVAL; MARKOV PROCESSES; MOLECULAR GRAPHICS; POLYMERS; QUANTUM CHEMISTRY; SULFUR COMPOUNDS; TOPOLOGY;

COMPLEX NETWORKS; ELECTROSTATIC POTENTIAL; HP LATTICE; HUMAN BREAST CANCER; LINEAR DISCRIMINANT ANALYSIS; MARKOV CHAINS; PROTEIN SEQUENCE; QSAR; SEQUENCE ALIGNMENT;

PROTEINS;

TUMOR MARKER; TUMOR PROTEIN;

ARTICLE; BREAST TUMOR; CHEMISTRY; DISCRIMINANT ANALYSIS; HUMAN; PROTEIN FOLDING; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATIC ELECTRICITY;

BREAST NEOPLASMS; DISCRIMINANT ANALYSIS; HUMANS; NEOPLASM PROTEINS; PROTEIN FOLDING; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; STATIC ELECTRICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 57049145806     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.21016     Document Type: Article

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