Graph attention network predicts drug-gene associations of matrix metalloproteinases 9-based host modulation in periodontitis

This study explores the intricate relationship between drugs, genes, and MMP-9, using a GAT tool to identify potential drug targets. Addressing limitations can advance MMP-9 biology and develop new therapeutic strategies.

Authors

Institutions

Publication Details

Journal
Journal of Indian Society of Periodontology
Published
2025-03-01
DOI
https://doi.org/10.4103/jisp.jisp_311_24
Primary Topic
Peptidase Inhibition and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Graph attention network predicts drug-gene associations of matrix metalloproteinases 9-based host modulation in periodontitis

Raghavendra Vamsi Anegundi, Deepavalli Arumuganainar, Praveen Ganesh, Pradeep Kumar
Journal of Indian Society of Periodontology
Peptidase Inhibition and Analysis
article

Graph attention network predicts drug-gene associations of matrix metalloproteinases 9-based host modulation in periodontitis

Raghavendra Vamsi Anegundi, Deepavalli Arumuganainar, Praveen Ganesh, Pradeep Kumar
article en

Abstract

This study explores the intricate relationship between drugs, genes, and MMP-9, using a GAT tool to identify potential drug targets. Addressing limitations can advance MMP-9 biology and develop new therapeutic strategies.

Journal of Indian Society of PeriodontologyVol. 29(2)
Tamil Nadu Government Dental College and Hospital (IN), Saveetha University (IN)
Openalex Percentile: Top 70%
Peptidase Inhibition and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.