Special Issue: Chemoinformatics
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[1] A. Odermatt,et al. Pharmacophore Models and Pharmacophore-Based Virtual Screening: Concepts and Applications Exemplified on Hydroxysteroid Dehydrogenases , 2015, Molecules.
[2] Sabina Podlewska,et al. Extremely Randomized Machine Learning Methods for Compound Activity Prediction , 2015, Molecules.
[3] Daisuke Kihara,et al. Three-Dimensional Compound Comparison Methods and Their Application in Drug Discovery , 2015, Molecules.
[4] S. Winters-Hilt,et al. Nanopore Event-Transduction Signal Stabilization for Wide pH Range under Extreme Chaotrope Conditions , 2016, Molecules.
[5] I. Tetko,et al. Extended Functional Groups (EFG): An Efficient Set for Chemical Characterization and Structure-Activity Relationship Studies of Chemical Compounds , 2015, Molecules.
[6] P. Ruggerone,et al. A Database of Force-Field Parameters, Dynamics, and Properties of Antimicrobial Compounds , 2015, Molecules.
[7] Mohammed Mumtaz Al-Dabbagh,et al. A Quantum-Based Similarity Method in Virtual Screening , 2015, Molecules.
[8] Guanyu Wang. Chemoinformatics in the New Era: From Molecular Dynamics to Systems Dynamics , 2016, Molecules.
[9] Kwong-Sak Leung,et al. Low-Quality Structural and Interaction Data Improves Binding Affinity Prediction via Random Forest , 2015, Molecules.
[10] So Yeon Kim,et al. Recent Advances in Developing Inhibitors for Hypoxia-Inducible Factor Prolyl Hydroxylases and Their Therapeutic Implications , 2015, Molecules.
[11] Johann Gasteiger,et al. Chemoinformatics: Achievements and Challenges, a Personal View , 2016, Molecules.