Shovanlal Gayen

24PUBLICATIONS
30CO-AUTHORS
Cheminformatics and quantitative structure-activity relationshipsNeurology and neuromuscular diseasesChemical engineering designNanomaterialsCardiology (incl. cardiovascular diseases)
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Publications (24)

|Jun 08, 2026
A round-robin exercise for the precise prediction of aqueous solubility of organic chemicals using chemometric, machine learning, and stacking ensemble of deep learning models.

|May 23, 2026
An integrated machine learning and chemical space network approach for the design of potent epigenetic HDAC6 inhibitors for targeting neurological disorders.

|May 11, 2026
A new class of indole-based HDAC8 inhibitors as potential anti-lung cancer agents: <i>in silico</i> design, synthesis, biological assessment and binding interaction analysis.

|Feb 15, 2026
Read-Across Structure-Property Relationship-Based Superior Prediction of Fraction Unbound in Plasma from Chemical Structure: Interpretable Models with Minimum Descriptors.

Indrasis Dasgupta, Samima Khatun, Shovanlal Gayen

|May 17, 2025
First report on analysis of chemical space, scaffold diversity, critical structural features of HDAC11 inhibitors.

Rinki Prasad Bhagat, Jyotisha, Indrasis Dasgupta

|Feb 01, 2025
PPARγ modulator predictor (PGMP_v1): chemical space exploration and computational insights for enhanced type 2 diabetes mellitus management.

Sk Abdul Amin, Lucia Sessa, Shovanlal Gayen

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Frequent Collaborators

15 joint publications

Sk Abdul Amin

13 joint publications

Tarun Jha

6 joint publications

Nilanjan Adhikari

2 joint publications

Balaram Ghosh