World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
66
Citations
20457
World Ranking
7175
National Ranking
85

Best Publications

  • On Some Aspects of Variable Selection for Partial Least Squares Regression Models

    Unknown

  • On a simple approach for determining applicability domain of QSAR models

    Unknown

  • Be aware of error measures. Further studies on validation of predictive QSAR models

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  • On Two Novel Parameters for Validation of Predictive QSAR Models

    Unknown

  • Further exploring rm2 metrics for validation of QSPR models

    Probir Kumar Ojha;Indrani Mitra;Rudra Narayan Das;Kunal Roy

  • Green Chemistry in the Synthesis of Pharmaceuticals.

    Unknown

  • Comparative Studies on Some Metrics for External Validation of QSPR Models

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  • Some case studies on application of "r(m)2" metrics for judging quality of quantitative structure-activity relationship predictions: emphasis on scaling of response data.

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  • On some aspects of validation of predictive quantitative structure–activity relationship models

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  • Exploring the impact of size of training sets for the development of predictive QSAR models

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  • On various metrics used for validation of predictive QSAR models with applications in virtual screening and focused library design.

    Unknown

  • Exploring quantitative structure–activity relationship studies of antioxidant phenolic compounds obtained from traditional Chinese medicinal plants

    Indrani Mitra;Achintya Saha;Kunal Roy

  • A Primer on QSAR/QSPR Modeling: Fundamental Concepts

    Unknown

  • On Selection of Training and Test Sets for the Development of Predictive QSAR models

    Unknown

  • A Primer on QSAR/QSPR Modeling

    Kunal Roy;Supratik Kar;Rudra Narayan Das

  • Comparative QSARs for antimalarial endochins: Importance of descriptor-thinning and noise reduction prior to feature selection

    Unknown

  • “NanoBRIDGES” software: Open access tools to perform QSAR and nano-QSAR modeling

    Unknown

  • How important is to detect systematic error in predictions and understand statistical applicability domain of QSAR models

    Unknown

  • Prediction reliability of QSAR models: an overview of various validation tools

    Unknown

  • Comparative chemometric modeling of cytochrome 3A4 inhibitory activity of structurally diverse compounds using stepwise MLR, FA-MLR, PLS, GFA, G/PLS and ANN techniques

    Kunal Roy;Partha Pratim Roy

Frequent Co-Authors

Jerzy Leszczynski
Jerzy Leszczynski Jackson State University
Paul L. A. Popelier
Paul L. A. Popelier University of Manchester
Andrey A. Toropov
Andrey A. Toropov Mario Negri Institute for Pharmacological Research
Humberto González-Díaz
Humberto González-Díaz University of the Basque Country
Sónia P. M. Ventura
Sónia P. M. Ventura University of Aveiro
Scott E. Belanger
Scott E. Belanger Procter & Gamble (United States)
Rafik Karaman
Rafik Karaman Al-Quds University
José Maria Monserrat
José Maria Monserrat Federal University of Rio Grande
Ivan Raška
Ivan Raška Charles University
João A. P. Coutinho
João A. P. Coutinho University of Aveiro

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