Pravin Ambure

On a simple approach for determining applicability domain of QSAR models

Kunal Roy, Supratik Kar, Pravin Ambure · Chemometrics and Intelligent Laboratory Systems · 2015 · 742 citations

Systems Pharmacology, Qsar Models, Engineering +14

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

Kunal Roy, Rudra Narayan Das, Pravin Ambure et al. · Chemometrics and Intelligent Laboratory Systems · 2016 · 671 citations

Predictive Toxicology, Medicine, Error Measures +10

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

Pravin Ambure, Rahul Balasaheb Aher, Agnieszka Gajewicz et al. · Chemometrics and Intelligent Laboratory Systems · 2015 · 191 citations

Engineering, Open Access Tools, Medicine +9

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

Kunal Roy, Pravin Ambure, Rahul Balasaheb Aher · Chemometrics and Intelligent Laboratory Systems · 2017 · 145 citations

Qsar Models, Engineering, Predictive Toxicology +11

How Precise Are Our Quantitative Structure–Activity Relationship Derived Predictions for New Query Chemicals?

Kunal Roy, Pravin Ambure, Supratik Kar · ACS Omega · 2018 · 135 citations · Full text

Engineering, Machine Learning, Chemical Analysis +20