This study identifies key biomarkers and potential drug candidates for gestational diabetes mellitus through transcriptomic analysis and molecular docking.

23 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 25, 2020

Bioinformatics Analysis of Key Genes and Pathways for Obesity Associated Type 2 Diabetes Mellitus as a Therapeutic Target

Basavaraj Mallikarjunayya Vastrad, Anandkumar Tengli, Chanabasayya Mallikarjunayya Vastrad, Iranna Kotturshetti

The paper identifies key genes and pathways in obesity-associated type 2 diabetes through bioinformatics analysis, proposing them as diagnostic markers and therapeutic targets.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintDec 23, 2020

Identification of key genes and associated pathways in neuroendocrine tumors through bioinformatics analysis and predictions of small drug molecules

Praveenkumar Devarbhavi, Basavaraj Mallikarjunayya Vastrad, Anandkumar Tengli…·Iranna Kotturshetti

This study identifies key genes and pathways in neuroendocrine tumors using bioinformatics analysis and validates potential drug targets through molecular docking and experimental validation.

DOI 10.1101/2020.12.23.424165

humanbulk RNA-seq

𝕏 PostBluesky

Genetic & Genomic MedicinemedRxivPreprintDec 20, 2020

Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Integrated Bioinformatics Analysis and Molecular Docking Experiments

Basavaraj Mallikarjunayya Vastrad, Chanabasayya Mallikarjunayya Vastrad, Anandkumar Tengli

The paper identifies differentially expressed genes in PDAC and validates hub genes as potential biomarkers and therapeutic targets through bioinformatics and molecular docking.

DOI 10.1101/2020.12.20.20248601

humanbulk RNA-seq

𝕏 PostBluesky