PROTEIN SECONDARY STRUCTURE PREDICTION USING SUPPORT VECTOR MACHINES AND A NEW FEATURE REPRESENTATION

DOI10.1142/S1469026806002076zbMath1143.68541OpenAlexW2124864034MaRDI QIDQ5434999

Marimuthu Palaniswami, Michael Parker, Daniel T. H. Lai, Jayavardhana Gubbi

Publication date: 14 January 2008

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1469026806002076

zbMATH Keywords

support vector machinesreliability indexposition specific scoring matrix (PSSM)protein secondary structure predictionChou-Fasman parametersGrantham polarityKyte-Dolittle hydrophobicitynovel encoding scheme

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Biochemistry, molecular biology (92C40) Computational methods for problems pertaining to biology (92-08)

Cites Work

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