SAR and QSAR in Environmental Research

Molecular modelling on small molecular CDK2 inhibitors: an integrated approach using a combination of molecular docking, 3D-QSAR and pharmacophore modelling
pp. 795-817(23)
Authors: Yuan, H.; Liu, H.; Tai, W.; Wang, F.; Zhang, Y.; Yao, S.; Ran, T.; Lu, S.; Ke, Z.; Xiong, X.; Xu, J.; Chen, Y.; Lu, T.

Docking-based CoMFA and CoMSIA study of azaindole carboxylic acid derivatives as promising HIV-1 integrase inhibitors
pp. 819-839(21)
Authors: Yu, S.; Wang, P.; Li, Y.; Liu, Y.; Zhao, G.

Development of QSAR-based two-stage prediction model for estimating mixture toxicity
pp. 841-861(21)
Authors: Kim, J.; Kim, S.; Schaumann, G.E.

In silico modelling for predicting the cationic hydrophobicity and cytotoxicity of ionic liquids towards the Leukemia rat cell line, Vibrio fischeri and Scenedesmus vacuolatus based on molecular interaction potentials of ions
pp. 863-882(20)
Authors: Cho, C.-W.; Ranke, J.; Arning, J.; Thöming, J.; Preiss, U.; Jungnickel, C.; Diedenhofen, M.; Krossing, I.; Stolte, S.