Kunal Roy

68PUBLICATIONS
37CO-AUTHORS
Soil chemistry and soil carbon sequestration (excl. carbon sequestration science)Bioinformatic methods developmentCheminformatics and quantitative structure-activity relationshipsEnvironmental biogeochemistryDeep learning
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Publications (68)

|Oct 23, 2026
Soil Sorption Estimator (SSE): Read-Across-Based Predictions of Soil Organic Carbon Partition Coefficient (Log Koc) and Validation Using Multiple External Sets.

|Sep 14, 2026
Q performance 2: Toward Unbiased Selection of Machine-Learning Regression Models.

|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.

|Mar 25, 2026
Machine Learning-Based Quantitative Structure Activity Relationship Modeling of Repeated Dose Toxicity: A Data-Driven Approach Following Organisation for Economic Co-operation and Development Test Guidelines 407, 408, and 422 Supported by Experimental Validation.

Souvik Pore, Zsuzsanna Szepesi, Kunal Roy

|Jan 23, 2026
Comparative machine learning and deep learning frameworks for robust carcinogenicity prediction and activity cliff analysis.

Arkaprava Banerjee, Vinay Kumar, Kunal Roy

|Aug 15, 2025
Machine learning-based q-RASAR modelling for the in silico identification of novel α7nAChR agonists for anti-Alzheimer's drug discovery.

V Kumar, K Roy

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Frequent Collaborators

20 joint publications

Arkaprava Banerjee

8 joint publications

Supratik Kar

5 joint publications

Vinay Kumar

3 joint publications

Jerzy Leszczynski