The EMILIN/multimerin family

A Colombatti, P Spessotto, R Doliana… - Frontiers in …, 2012 - frontiersin.org
Elastin microfibrillar interface proteins (EMILINs) and Multimerins (EMILIN1, EMILIN2,
Multimerin1, and Multimerin2) constitute a four member family that in addition to the shared …

Classification of nuclear receptors based on amino acid composition and dipeptide composition

M Bhasin, GPS Raghava - Journal of Biological Chemistry, 2004 - ASBMB
Nuclear receptors are key transcription factors that regulate crucial gene networks
responsible for cell growth, differentiation, and homeostasis. Nuclear receptors form a …

PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence

ZR Li, HH Lin, LY Han, L Jiang, X Chen… - Nucleic acids …, 2006 - academic.oup.com
Sequence-derived structural and physicochemical features have frequently been used in the
development of statistical learning models for predicting proteins and peptides of different …

ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST

M Bhasin, GPS Raghava - Nucleic acids research, 2004 - academic.oup.com
Automated prediction of subcellular localization of proteins is an important step in the
functional annotation of genomes. The existing subcellular localization prediction methods …

Application of the EIIP/ISM bioinformatics concept in development of new drugs

V Veljkovic, N Veljkovic, JA Esté… - Current medicinal …, 2007 - ingentaconnect.com
The development of a new therapeutic drug is a complex, lengthy and expensive process.
On average, only one out of 10,000-30,000 originally synthesized compounds will clear all …

Classifying G protein-coupled receptors and nuclear receptors on the basis of protein power spectrum from fast Fourier transform

YZ Guo, M Li, M Lu, Z Wen, K Wang, G Li, J Wu - Amino Acids, 2006 - Springer
As the potential drug targets, G-protein coupled receptors (GPCRs) and nuclear receptors
(NRs) are the focuses in pharmaceutical research. It is of great practical significance to …

Machine learning Ensemble for the Parkinson's disease using protein sequences

P Arora, A Mishra, A Malhi - Multimedia Tools and Applications, 2022 - Springer
The most challenging issue in diagnosing and treating neurological disorders is gene
identification that causes the disease. Classification of the genes that cause or initiate …

Discovery of new therapeutic targets by the informational spectrum method

N Veljkovic, S Glisic, J Prljic, V Perovic… - Current Protein and …, 2008 - ingentaconnect.com
The field of bioinformatics has become a major part of the drug discovery pipeline playing a
key role in improvement and acceleration of this time and money consuming process. Here …

Evolution and similarity evaluation of protein structures in contact map space

N Gupta, N Mangal, S Biswas - Proteins: Structure, Function …, 2005 - Wiley Online Library
Prediction of fold from amino acid sequence of a protein has been an active area of research
in the past few years, but the limited accuracy of existing techniques emphasizes the need to …

Co-training based prediction of multi-label protein–protein interactions

T Tang, X Zhang, W Li, Q Wang, Y Liu, X Cao - Computers in Biology and …, 2024 - Elsevier
Prediction of protein–protein interaction (PPI) types enhances the comprehension of the
underlying structural characteristics and functions of proteins, which gives rise to a multi …