Current advances in the identification and characterization of putative drug and vaccine targets in the bacterial genomes

M Shahbaaz, K Bisetty, F Ahmad… - Current Topics in …, 2016 - ingentaconnect.com
The development in sequencing technologies over the past few decades have increased the
pace of decoding genetic and functional information present in the genomes of pathogenic …

Support vector machine (SVM) based multiclass prediction with basic statistical analysis of plasminogen activators

S Muthukrishnan, M Puri, C Lefevre - BMC research notes, 2014 - Springer
Abstract Background Plasminogen (Pg), the precursor of the proteolytic and fibrinolytic
enzyme of blood, is converted to the active enzyme plasmin (Pm) by different plasminogen …

BacHbpred: Support Vector Machine Methods for the Prediction of Bacterial Hemoglobin‐Like Proteins

MK Selvaraj, M Puri, KL Dikshit… - Advances in …, 2016 - Wiley Online Library
The recent upsurge in microbial genome data has revealed that hemoglobin‐like (HbL)
proteins may be widely distributed among bacteria and that some organisms may carry more …

Harnessing the evolutionary information on oxygen binding proteins through Support Vector Machines based modules

S Muthukrishnan, M Puri - BMC Research Notes, 2018 - Springer
Objectives The arrival of free oxygen on the globe, aerobic life is becoming possible.
However, it has become very clear that the oxygen binding proteins are widespread in the …

Multi-descriptor approaches to oxygen binding proteins prediction and classification using deep learning

S Hamena, S Meshoul… - International Journal of …, 2022 - inderscienceonline.com
Oxygen binding proteins play a key role in the transport and storage of oxygen through the
body's cells. However, costly and time consuming biological tests can only determine a very …

Classify vertebrate hemoglobin proteins by incorporating the evolutionary information into the general PseAAC with the hybrid approach

SM Krishnan - Journal of theoretical biology, 2016 - Elsevier
Hemoglobin is an oxygen-binding protein widely present in all kingdoms of life from
prokaryotic to eukaryotic, but well established in the vertebrate system. An attempt was …

Deep neural network for classification and prediction of oxygen binding proteins

S Hamena, S Meshoul - Proceedings of the 2018 2nd International …, 2018 - dl.acm.org
The accurate annotation of a protein function is important for understanding life at molecular
level. Nowadays, powerful high throughput proteomics technologies provide an …

Using Chou's Pseudo-Amino Acid Composition to Predict and Classify Oxygen Binding Proteins

S Hamena, S Meshoul, S Ouadfel - 2020 6th Conference on …, 2020 - ieeexplore.ieee.org
Despite the largest application of functional assignments based on sequence similarity most
of the newly discovered proteins sequences still unannotated. This has made the use of …

Analysis and prediction of major blood proteins based on their amino acid and dipeptide composition

S Muthukrishnan, M Puri, C Lefevre - 2013 - dro.deakin.edu.au
A method has been developed for predicting blood proteins using the SVM based machine
learning approach. In this prediction method a two-step strategy was deployed to predict …

[PDF][PDF] Bioinformatics tools and methods in identifying anticancer peptides

SZ Sajjadian - Journal of Genes and Cells, 2018 - academia.edu
Usage of therapeutic peptides in cancer treatment has been taking significant attention in
the recent years. Identify of anticancer peptides is important for expanding useful anticancer …