title: MitProt-Pred: Predicting mitochondrial proteins of Plasmodium falciparum parasite using diverse physiochemical properties and ensemble classification.
abstract: Mitochondrial protein of Plasmodium falciparum is an important target for anti-malarial drugs. Experimental approaches for detecting mitochondrial proteins are costly and time consuming. Therefore, MitProt-Pred is developed that utilizes Bi-profile Bayes, Pseudo Average Chemical Shift, Split Amino Acid Composition, and Pseudo Amino Acid Composition based features of the protein sequences. Hybrid feature space is also developed by combining different individual feature spaces. These feature spaces are learned and exploited through SVM based ensemble. MitProt-Pred achieved significantly improved prediction performance for two standard datasets. We also developed the score level ensemble, which outperforms the feature level ensemble.
authors.affiliation: Pattern Recognition Laboratory, Department of Computer and Information Sciences, PIEAS, Nilore, Islamabad, Pakistan.
authors.forename: Muhammad Tayyeb
authors.initials: MT
authors.lastname: Mirza
authors.forename: Asifullah
authors.initials: A
authors.lastname: Khan
authors.forename: Muhammad
authors.initials: M
authors.lastname: Tahir
authors.forename: Yeon Soo
authors.initials: YS
authors.lastname: Lee
mesh_terms: D000596:Amino Acids / Q000737:chemistry / Q000378:metabolism; D001499:Bayes Theorem; D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein; D024101:Mitochondrial Proteins / Q000737:chemistry* / Q000378:metabolism; D010963:Plasmodium falciparum / Q000737:chemistry* / Q000378:metabolism; D015800:Protozoan Proteins / Q000737:chemistry* / Q000378:metabolism; D020539:Sequence Analysis, Protein / Q000379:methods*; D012984:Software; D060388:Support Vector Machine
chemical_list: D000596:Amino Acids; D024101:Mitochondrial Proteins; D015800:Protozoan Proteins
keywords: Bi-profile Bayes; Ensemble classification; Mitochondrial proteins; Plasmodium falciparum; PseAAC; PseACS; SAAC; SVM