A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition

A Sharma, J Lyons, A Dehzangi, KK Paliwal - Journal of theoretical biology, 2013 - Elsevier
Discovering a three dimensional structure of a protein is a challenging task in biological
science. Classifying a protein into one of its folds is an intermediate step for deciphering the …

[HTML][HTML] Predicting subcellular localization of multi-label proteins by incorporating the sequence features into Chou's PseAAC

F Javed, M Hayat - Genomics, 2019 - Elsevier
The emergence of numerous genome projects has made the experimental classification of
the protein localization almost impossible due to the exponential increase in the number of …

SDBP-Pred: Prediction of single-stranded and double-stranded DNA-binding proteins by extending consensus sequence and K-segmentation strategies into PSSM

F Ali, M Arif, ZU Khan, M Kabir, S Ahmed, DJ Yu - Analytical biochemistry, 2020 - Elsevier
Identification of DNA-binding proteins (DNA-BPs) is a hot issue in protein science due to its
key role in various biological processes. These processes are highly concerned with DNA …

A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition

KK Paliwal, A Sharma, J Lyons… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
In biological sciences, the deciphering of a three dimensional structure of a protein
sequence is considered to be an important and challenging task. The identification of protein …

A protein structural classes prediction method based on predicted secondary structure and PSI-BLAST profile

S Ding, Y Li, Z Shi, S Yan - Biochimie, 2014 - Elsevier
Abstract Knowledge of protein secondary structural classes plays an important role in
understanding protein folding patterns. In this paper, 25 features based on position-specific …

A combination of feature extraction methods with an ensemble of different classifiers for protein structural class prediction problem

A Dehzangi, K Paliwal, A Sharma… - … ACM transactions on …, 2013 - ieeexplore.ieee.org
Better understanding of structural class of a given protein reveals important information
about its overall folding type and its domain. It can also be directly used to provide critical …

A computational method for prediction of xylanase enzymes activity in strains of Bacillus subtilis based on pseudo amino acid composition features

S Ariaeenejad, M Mousivand, P Moradi Dezfouli… - PLoS …, 2018 - journals.plos.org
Xylanases are hydrolytic enzymes which based on physicochemical properties, structure,
mode of action and substrate specificities are classified into various glycoside hydrolase …

Profold: Protein fold classification with additional structural features and a novel ensemble classifier

D Chen, X Tian, B Zhou, J Gao - BioMed research international, 2016 - Wiley Online Library
Protein fold classification plays an important role in both protein functional analysis and drug
design. The number of proteins in PDB is very large, but only a very small part is categorized …

A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition

A Sharma, KK Paliwal, A Dehzangi, J Lyons, S Imoto… - BMC …, 2013 - Springer
Background Assigning a protein into one of its folds is a transitional step for discovering
three dimensional protein structure, which is a challenging task in bimolecular (biological) …

A segmentation-based method to extract structural and evolutionary features for protein fold recognition

A Dehzangi, K Paliwal, J Lyons… - … /ACM Transactions on …, 2014 - ieeexplore.ieee.org
Protein fold recognition (PFR) is considered as an important step towards the protein
structure prediction problem. Despite all the efforts that have been made so far, finding an …