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SAR and QSAR in Environmental Research|April 4, 2009
Identification of potential influenza virus endonuclease inhibitors through virtual screening based on the 3D-QSAR modelJ Kim, C Lee, Y Chong
SAR and QSAR in Environmental Research|April 4, 2009
Predicting the vapour pressure of chemicals from structure: a comparison of graph theoretic versus quantum chemical descriptorsS C Basak, D Mills
SAR and QSAR in Environmental Research|November 4, 2022
Hybrid consensus and k-nearest neighbours (kNN) strategies to classify dual BRD4/PLK1 inhibitorsH Rezaie, M Asadollahi-Baboli, S K Hassaninejad-Darzi
SAR and QSAR in Environmental Research|November 28, 2023
Exploring marine-derived compounds for MET signalling pathway inhibition in cancer: integrating virtual screening, ADME profiling and molecular dynamics investigationsA A Alzain, F A Elbadwi, S G A Mohamed, et al.
SAR and QSAR in Environmental Research|November 20, 2023
Metrics for estimating vapour pressure deviation from ideality in binary mixturesA K D Celsie, J M Parnis, T N Brown
SAR and QSAR in Environmental Research|July 15, 2024
HT_PREDICT: a machine learning-based computational open-source tool for screening HDAC6 inhibitorsO V Tinkov, V N Osipov, A V Kolotaev, et al.
SAR and QSAR in Environmental Research|May 20, 2024
Exploring the inhibitory action of betulinic acid on key digestive enzymes linked to diabetes via in vitro and computational models: approaches to anti-diabetic mechanismsV F Salau, O L Erukainure, A Aljoundi, et al.
SAR and QSAR in Environmental Research|January 15, 2019
Prediction of the binding affinity of aptamers against the influenza virusX Yu, Y Wang, H Yang, et al.
SAR and QSAR in Environmental Research|September 7, 2020
Thorough evaluation of OECD principles in modelling of 1-[(2-hydroxyethoxy)methyl]-6-(phenylthio)thymine derivatives using QSARINSY Cañizares-Carmenate, L E Campos Delgado, F Torrens, et al.
SAR and QSAR in Environmental Research|November 27, 2019
Evaluation of non-commercial models for genotoxicity and carcinogenicity in the assessment of EFSA's databasesE Carnesecchi, G Raitano, A Gamba, et al.
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