Discriminate protein decoys from native by using a scoring function based on ubiquitous phi and psi angles computed for all atom

DOI10.1016/j.jtbi.2016.03.029zbMath1343.92385OpenAlexW2333360787WikidataQ30386258 ScholiaQ30386258MaRDI QIDQ738564

Avdesh Mishra, Md Tamjidul Hoque, Sumaiya Iqbal

Publication date: 5 September 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2016.03.029

zbMATH Keywords

optimizationgenetic algorithmprotein structure predictiondecoy structurenative structure

Mathematics Subject Classification ID

Protein sequences, DNA sequences (92D20) Molecular structure (graph-theoretic methods, methods of differential topology, etc.) (92E10) Software, source code, etc. for problems pertaining to biology (92-04)

Related Items

Discriminate protein decoys from native by using a scoring function based on ubiquitous phi and psi angles computed for all atom ⋮ 3DIGARS

Uses Software

• CHARMM
• PredLactamase
• I-TASSER
• SCWRL4
• iPro54-PseKNC
• iPPI-Esml
• iDNA-Methyl
• iRSpot-PseDNC
• iCTX-Type
• iNitro-Tyr

Cites Work

• Discriminate protein decoys from native by using a scoring function based on ubiquitous phi and psi angles computed for all atom
• Some remarks on protein attribute prediction and pseudo amino acid composition
• Prediction of \(\beta\)-lactamase and its class by Chou's pseudo-amino acid composition and support vector machine
• Discrimination of acidic and alkaline enzyme using Chou's pseudo amino acid composition in conjunction with probabilistic neural network model
• Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou's general PseAAC

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