Palani Vigneshwar

ORCID: 0009-0007-8748-1300
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About
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Research Areas
  • Antimicrobial Peptides and Activities
  • Machine Learning in Bioinformatics
  • Protein Hydrolysis and Bioactive Peptides
  • Pregnancy and preeclampsia studies
  • Network Security and Intrusion Detection
  • Neonatal Respiratory Health Research
  • Advanced Malware Detection Techniques
  • Ultrasound and Hyperthermia Applications
  • Anomaly Detection Techniques and Applications

Indraprastha Institute of Information Technology Delhi
2023-2024

SRM Institute of Science and Technology
2020

Peptide hormones serve as genome-encoded signal transduction molecules that play essential roles in multicellular organisms, and their dysregulation can lead to various health problems. In this study, we propose a method for predicting hormonal peptides with high accuracy. The dataset used training, testing, evaluating our models consisted of 1174 non-hormonal peptide sequences. Initially, developed similarity-based methods utilizing BLAST MERCI software. Although these provided probability...

10.1002/pmic.202400004 article EN PROTEOMICS 2024-05-27

Abstract Peptide hormones are genome-encoded signal transduction molecules released in multicellular organisms. The dysregulation of hormone release can cause multiple health problems and it is crucial to study these for therapeutic purposes. To help the research community working this field, we developed a prediction server that classifies hormonal peptides non-hormonal peptides. dataset used was collected both plants animals from Hmrbase2 PeptideAtlas databases. It comprises non-redundant...

10.1101/2023.05.15.540764 preprint EN cc-by-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-05-16
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