Takip et
Supratik Kar
Supratik Kar
Assistant Professor, Dept. of Chemistry, Kean University, New Jersey, USA
kean.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
On a simple approach for determining applicability domain of QSAR models
K Roy, S Kar, P Ambure
Chemometrics and Intelligent Laboratory Systems 145, 22-29, 2015
7302015
Understanding the basics of QSAR for applications in pharmaceutical sciences and risk assessment
K Roy, S Kar, RN Das
Academic press, 2015
6802015
Comparative studies on some metrics for external validation of QSPR models
K Roy, I Mitra, S Kar, PK Ojha, RN Das, H Kabir
Journal of chemical information and modeling 52 (2), 396-408, 2012
5062012
Some case studies on application of “rm2” metrics for judging quality of quantitative structure–activity relationship predictions: Emphasis on scaling of response …
K Roy, P Chakraborty, I Mitra, PK Ojha, S Kar, RN Das
Journal of computational chemistry 34 (12), 1071-1082, 2013
4552013
A primer on QSAR/QSPR modeling: fundamental concepts
K Roy, S Kar, RN Das
Springer, 2015
4482015
Green chemistry in the synthesis of pharmaceuticals
S Kar, H Sanderson, K Roy, E Benfenati, J Leszczynski
Chemical Reviews 122 (3), 3637-3710, 2021
3532021
Open access in silico tools to predict the ADMET profiling of drug candidates
S Kar, J Leszczynski
Expert opinion on drug discovery 15 (12), 1473-1487, 2020
1952020
Statistical methods in QSAR/QSPR
K Roy, S Kar, RN Das, K Roy, S Kar, RN Das
A Primer on QSAR/QSPR Modeling: Fundamental Concepts, 37-59, 2015
1712015
How far can virtual screening take us in drug discovery?
S Kar, K Roy
Expert opinion on drug discovery 8 (3), 245-261, 2013
1482013
Ecotoxicological assessment of pharmaceuticals and personal care products using predictive toxicology approaches
S Kar, H Sanderson, K Roy, E Benfenati, J Leszczynski
Green Chemistry 22 (5), 1458-1516, 2020
1342020
Periodic table-based descriptors to encode cytotoxicity profile of metal oxide nanoparticles: A mechanistic QSTR approach
S Kar, A Gajewicz, T Puzyn, K Roy, J Leszczynski
Ecotoxicology and environmental safety 107, 162-169, 2014
1272014
Is it possible to improve the quality of predictions from an “intelligent” use of multiple QSAR/QSPR/QSTR models?
K Roy, P Ambure, S Kar, PK Ojha
Journal of Chemometrics 32 (4), e2992, 2018
1242018
Prediction reliability of QSAR models: an overview of various validation tools
P De, S Kar, P Ambure, K Roy
Archives of Toxicology 96 (5), 1279-1295, 2022
1182022
QSAR modeling of toxicity of diverse organic chemicals to Daphnia magna using 2D and 3D descriptors
S Kar, K Roy
Journal of hazardous materials 177 (1-3), 344-351, 2010
1172010
Exploration of computational approaches to predict the toxicity of chemical mixtures
S Kar, J Leszczynski
Toxics 7 (1), 15, 2019
1152019
Endocrine-disrupting activity of per-and polyfluoroalkyl substances: Exploring combined approaches of ligand and structure based modeling
S Kar, MS Sepúlveda, K Roy, J Leszczynski
Chemosphere 184, 514-523, 2017
1132017
How precise are our quantitative structure–activity relationship derived predictions for new query chemicals?
K Roy, P Ambure, S Kar
ACS omega 3 (9), 11392-11406, 2018
1062018
Advances in QSAR modeling
K Roy
Applications in pharmaceutical, chemical, food, agricultural and …, 2017
1062017
On further application of r as a metric for validation of QSAR models
I Mitra, PP Roy, S Kar, PK Ojha, K Roy
Journal of Chemometrics: A Journal of the Chemometrics Society 24 (1), 22-33, 2010
1062010
Applicability domain: a step toward confident predictions and decidability for QSAR modeling
S Kar, K Roy, J Leszczynski
Computational toxicology: methods and protocols, 141-169, 2018
1052018
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