Dr. Maqsood Hayat Associate Professor
Dr. Maqsood Hayat Associate Professor
Verified email at awkum.edu.pk
Title
Cited by
Cited by
Year
Discriminating outer membrane proteins with fuzzy K-nearest neighbor algorithms based on the general form of Chou's PseAAC
M Hayat, A Khan
Protein and peptide letters 19 (4), 411-421, 2012
1602012
Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition
M Hayat, A Khan
Journal of Theoretical Biology 271 (1), 10-17, 2011
1602011
Discrimination of acidic and alkaline enzyme using Chou’s pseudo amino acid composition in conjunction with probabilistic neural network model
ZU Khan, M Hayat, MA Khan
Journal of theoretical biology 365, 197-203, 2015
1462015
iRSpot‑GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou’s PseAAC to formulate DNA samples
M Kabir, M Hayat
Mol Genet Genomics, 2015
1332015
Classification of membrane protein types using Voting Feature Interval in combination with Chou׳ s Pseudo Amino Acid Composition
F Ali, M Hayat
Journal of theoretical biology 384, 78-83, 2015
1212015
Unb-DPC: Identify mycobacterial membrane protein types by incorporating un-biased dipeptide composition into Chou's general PseAAC
M Khan, M Hayat, SA Khan, N Iqbal
Journal of theoretical biology 415, 13-19, 2017
1052017
iNuc-STNC: a sequence-based predictor for identification of nucleosome positioning in genomes by extending the concept of SAAC and Chou's PseAAC
M Tahir, M Hayat
Molecular BioSystems 12 (8), 2587-2593, 2016
1012016
Identification of Heat Shock Protein families and J-protein types by incorporating Dipeptide Composition into Chou's general PseAAC
S Ahmad, M Kabir, M Hayat
Computer methods and programs in biomedicine 122 (2), 165-174, 2015
992015
iMethyl-STTNC: Identification of N6-methyladenosine sites by extending the idea of SAAC into Chou's PseAAC to formulate RNA sequences
S Akbar, M Hayat
Journal of theoretical biology 455, 205-211, 2018
942018
iMem-2LSAAC: a two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into Chou's pseudo amino acid composition
M Arif, M Hayat, Z Jan
Journal of theoretical biology 442, 11-21, 2018
912018
Prediction of protein submitochondrial locations by incorporating dipeptide composition into Chou’s general pseudo amino acid composition
K Ahmad, M Waris, M Hayat
The Journal of membrane biology 249 (3), 293-304, 2016
912016
Discriminating protein structure classes by incorporating pseudo average chemical shift to Chou's general PseAAC and support vector machine
M Hayat, N Iqbal
Computer methods and programs in biomedicine 116 (3), 184-192, 2014
802014
MemHyb: predicting membrane protein types by hybridizing SAAC and PSSM
M Hayat, A Khan
Journal of Theoretical Biology 292, 93-102, 2012
782012
Prediction of membrane proteins using split amino acid and ensemble classification
M Hayat, A Khan, M Yeasin
Amino acids 42 (6), 2447-2460, 2012
692012
iNR-2L: A two-level sequence-based predictor developed via Chou's 5-steps rule and general PseAAC for identifying nuclear receptors and their families
M Kabir, S Ahmad, M Iqbal, M Hayat
Genomics 112 (1), 276-285, 2020
652020
Predicting subcellular localization of multi-label proteins by incorporating the sequence features into Chou's PseAAC
F Javed, M Hayat
Genomics 111 (6), 1325-1332, 2019
652019
iNuc-ext-PseTNC: an efficient ensemble model for identification of nucleosome positioning by extending the concept of Chou’s PseAAC to pseudo-tri-nucleotide composition
M Tahir, M Hayat, SA Khan
Molecular Genetics and Genomics 294 (1), 199-210, 2019
572019
Identification of DNA binding proteins using evolutionary profiles position specific scoring matrix
M Waris, K Ahmad, M Kabir, M Hayat
Neurocomputing 199, 154-162, 2016
532016
Sequence based predictor for discrimination of enhancer and their types by applying general form of Chou's trinucleotide composition
M Tahir, M Hayat, M Kabir
Computer methods and programs in biomedicine 146, 69-75, 2017
452017
MFSC: Multi-voting based feature selection for classification of Golgi proteins by adopting the general form of Chou's PseAAC components
J Ahmad, M Hayat
Journal of Theoretical Biology 463, 99-109, 2019
442019
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Articles 1–20