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SAR and QSAR in Environmental Research|January 23, 2015
Current situation on the availability of nanostructure-biological activity dataC Oksel, C Y Ma, X Z Wang
SAR and QSAR in Environmental Research|October 17, 2012
Event-based criteria in GT-STAF information indices: theory, exploratory diversity analysis and QSPR applicationsS J Barigye, Y Marrero-Ponce, Y Martínez López, et al.
SAR and QSAR in Environmental Research|October 17, 2012
Chemical structure determines target organ carcinogenesis in ratsC A Carrasquer, N Malik, G States, et al.
SAR and QSAR in Environmental Research|May 25, 2023
Selection of optimal validation methods for quantitative structure-activity relationships and applicability domainK Héberger
SAR and QSAR in Environmental Research|July 7, 2020
Comparison of statistical methods for predicting penetration capacity of drugs into human breast milk using physicochemical, pharmacokinetic and chromatographic descriptorsK Wanat, B Khakimov, E Brzezińska
SAR and QSAR in Environmental Research|July 18, 2012
In silico screening of the juvabione category of juvenile hormone analogues with juvenile hormone binding protein of Galleria mellonella--a docking studyP Awasthi, P Sharma
SAR and QSAR in Environmental Research|August 4, 2022
Monte Carlo technique to study the adsorption affinity of azo dyes by applying new statistical criteria of the predictive potentialA P Toropova, A A Toropov, A Roncaglioni, et al.
SAR and QSAR in Environmental Research|March 23, 2023
Study of two combined series of triketones with HPPD inhibitory activity by molecular modellingL R Capucho, E F F da Cunha, M P Freitas
SAR and QSAR in Environmental Research|May 7, 2021
Computational study on subfamilies of piperidine derivatives: QSAR modelling, model external verification, the inter-subset similarity determination, and structure-based drug designingF Sadeghi, A Afkhami, T Madrakian, et al.
SAR and QSAR in Environmental Research|June 24, 2020
Predicting pungency and understanding the pungency mechanism of capsaicinoids using TOPS-MODE approachS Yu, S Jia, D Wang, et al.
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