Some case studies on application of “rm2” metrics for judging quality of quantitative structure–activity relationship predictions: Emphasis on scaling of response data

By Kunal Roy, Pratima Chakraborty, I. Mitra, Probir Kumar Ojha, Supratik Kar, Rudra Narayan Das. Journal of Computational Chemistry, 2013

443 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Materials Chemistry, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/36cfe660b5086499d8028312eaeb146e32737961

How researchers see this paper

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In Computational Theory and Mathematics

1. Arzucan Özgür
2. Hakime Öztürk
3. Elif Ozkirimli Olmez

In Materials Chemistry

1. Arzucan Özgür
2. Hakime Öztürk
3. Elif Ozkirimli Olmez

In Molecular Biology

1. Arzucan Özgür
2. Hakime Öztürk
3. Elif Ozkirimli Olmez

Citations in the corpus

• DeepDTA: deep drug–target binding affinity prediction (2018, methodology): “The details of the formulation are explained in (Pratim Roy et al., 2009; Roy et al., 2013). r2m ¼ r2 ð1 ffiffiffiffiffiffiffiffiffiffiffiffiffiffi r2 r20 q Þ (9) The Area Under Precision Recall (AUPR) score is adopted by many studies that utilize binary prediction.”