Distinguishing glioblastoma subtypes by methylation signatures

YH Zhang, Z Li, T Zeng, X Pan, L Chen, D Liu… - Frontiers in …, 2020 - frontiersin.org
Glioblastoma, also called glioblastoma multiform (GBM), is the most aggressive cancer that
initiates within the brain. GBM is produced in the central nervous system. Cancer cells in …

Using Chou's general PseAAC to analyze the evolutionary relationship of receptor associated proteins (RAP) with various folding patterns of protein domains

SM Krishnan - Journal of theoretical biology, 2018 - Elsevier
The receptor-associated protein (RAP) is an inhibitor of endocytic receptors that belong to
the lipoprotein receptor gene family. In this study, a computational approach was tried to find …

Point-of-care testing in the early diagnosis of acute pesticide intoxication: The example of paraquat

TY Wei, TH Yen, CM Cheng - Biomicrofluidics, 2018 - pubs.aip.org
Acute pesticide intoxication is a common method of suicide globally. This article reviews
current diagnostic methods and makes suggestions for future development. In the case of …

Machine learning approaches for discrimination of Extracellular Matrix proteins using hybrid feature space

F Ali, M Hayat - Journal of theoretical biology, 2016 - Elsevier
Extracellular Matrix (ECM) proteins are the vital type of proteins that are secreted by resident
cells. ECM proteins perform several significant functions including adhesion, differentiation …

Metabolic changes in paraquat poisoned patients and support vector machine model of discrimination

X Wang, M Zhang, J Ma, Y Zhang, G Hong… - Biological and …, 2015 - jstage.jst.go.jp
Numerous people die of paraquat (PQ) poisoning every year in the world. Although several
studies regarding paraquat (PQ) poisoning have been conducted, the metabolic changes in …

Prediction of zinc binding sites in proteins using sequence derived information

A Srivastava, M Kumar - Journal of Biomolecular Structure and …, 2018 - Taylor & Francis
Zinc is one the most abundant catalytic cofactor and also an important structural component
of a large number of metallo-proteins. Hence prediction of zinc metal binding sites in …

Ion-pumping microbial rhodopsin protein classification by machine learning approach

MK Selvaraj, A Thakur, M Kumar, AK Pinnaka… - BMC …, 2023 - Springer
Background Rhodopsin is a seven-transmembrane protein covalently linked with retinal
chromophore that absorbs photons for energy conversion and intracellular signaling in …

Computational method for aromatase-related proteins using machine learning approach

MK Selvaraj, J Kaur - Plos one, 2023 - journals.plos.org
Human aromatase enzyme is a microsomal cytochrome P450 and catalyzes aromatization
of androgens into estrogens during steroidogenesis. For breast cancer therapy, third …

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 …