ISSN 1062-936X (Print); ISSN 1029-046X (Online)
Publisher: Taylor and Francis Ltd
Quantitative bioactivity prediction and pharmacophore identification for benzotriazine derivatives using the electron conformational-genetic algorithm in QSAR pp. 217-238(22) Authors: Sahin, K.; Sarıpınar, E.; Yanmaz, E.; Gecen, N.
Pharmacophore modelling, molecular docking and virtual screening for EGFR (HER 1) tyrosine kinase inhibitors pp. 239-263(25) Authors: Gupta, A. K.; Bhunia, S. S.; Balaramnavar, V. M.; Saxena, A. K.
Androgen receptor binding affinity: a QSAR evaluation pp. 265-291(27) Authors: Todorov, M.; Mombelli, E.; Ait-Aissa, S.; Mekenyan, O.
QSAR modelling of integrin antagonists using enhanced Bayesian regularised genetic neural networks pp. 293-314(22) Authors: Jalali-Heravi, M.; Mani-Varnosfaderani, A.
Using molecular docking to investigate the anti-breast cancer activity of low molecular weight compounds present on wild mushrooms pp. 315-328(14) Authors: Froufe, H. J. C.; Abreu, R. M. V.; Ferreira, I. C. F. R.
Does the oestrogen receptor encourage oestrogenicity in environmental pollutants? The case of 4-nonylphenol pp. 329-350(22) Authors: Graham, L. A.; Shaw, I. C.
Screening for low aquatic bioaccumulation (2): physico-chemical constraints pp. 351-364(14) Authors: Nendza, M.; Herbst, T.
Modelling of serotonin reuptake inhibitory and histamine H3 antagonistic activity of piperazine and diazepane amides: QSAR rationales for co-optimization of the activity profiles pp. 365-383(19) Authors: Sharma, B. K.; Singh, P.; Shekhawat, M.; Sarbhai, K.; Prabhakar, Y. S.
Fragment-similarity-based QSAR (FS-QSAR) algorithm for ligand biological activity predictions pp. 385-410(26) Authors: Myint, K. Z.; Ma, C.; Wang, L.; Xie, X. -Q.
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