Swapnil Chavan

Swapnil Chavan

India

Chemical grouping and computational methods to assess biologic activity and toxicity

Linnaeus University

1. Chavan, S. Towards new computational tools for predicting toxicity. Linnaeus University, http://lnu.diva-portal.org/smash/record.jsf?pid=diva2:914669, 2016.

2. Chavan, S.; Abdelaziz, A.; Wiklander, J. G.; Nicholls, I. A., A k-nearest neighbor classification of hERG K(+) channel blockers. J. Comput. Aided. Mol. Des. 2016, 30 (3), 229-36.

3. Chavan, S.; Friedman, R.; Nicholls, I. A., Acute Toxicity-Supported Chronic Toxicity Prediction: A k-Nearest Neighbor Coupled Read-Across Strategy. Int. J. Mol. Sci. 2015, 16 (5), 11659-77.

4. Nicholls, I. A.; Chavan, S.; Golker, K.; Karlsson, B. C.; Olsson, G. D.; Rosengren, A. M.; Suriyanarayanan, S.; Wiklander, J. G., Theoretical and Computational Strategies for the Study of the Molecular Imprinting Process and Polymer Performance. Adv Biochem Eng Biotechnol 2015, 150, 25-50.

5. Chavan, S.; Nicholls, I. A.; Karlsson, B. C.; Rosengren, A. M.; Ballabio, D.; Consonni, V.; Todeschini, R., Towards global QSAR model building for acute toxicity: munro database case study. Int. J. Mol. Sci. 2014, 15 (10), 18162-74.