Olson, Arthur J.

AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading

Trott, O., & Olson, A. J. (2010) · Journal of Computational Chemistry

Computational Drug Discovery MethodsAdvanced Chemical Physics Studies

Cited by 38,412

A semiempirical free energy force field with charge‐based desolvation

Huey, R., Morris, G. M., Olson, A. J., & Goodsell, D. S. (2007) · Journal of Computational Chemistry

Computational Drug Discovery MethodsAdvanced Chemical Physics Studies

Cited by 2,246

Structural Symmetry and Protein Function

Goodsell, D. S., & Olson, A. J. (2000) · Annual Review of Biophysics and Biomolecular Structure

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 950

Proteome-wide covalent ligand discovery in native biological systems

Backus, K. M., Correia, B. E., Lum, K. M., Forli, S., Horning, B. D., González-Páez, G. E., Chatterjee, S., Lanning, B. R., Teijaro, J. R., Olson, A. J., et al. (2016) · Nature

Click Chemistry and ApplicationsAdvanced Proteomics Techniques and Applications

Cited by 940

Automated docking to multiple target structures: Incorporation of protein mobility and structural water heterogeneity in AutoDock

Österberg, F., Morris, G. M., Sanner, M. F., Olson, A. J., & Goodsell, D. S. (2002) · Proteins: Structure, Function, and Bioinformatics

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 474

AutoDock4Zn: An Improved AutoDock Force Field for Small-Molecule Docking to Zinc Metalloproteins

Santos-Martins, D., Forli, S., Ramos, M. J., & Olson, A. J. (2014) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 318

A Force Field with Discrete Displaceable Waters and Desolvation Entropy for Hydrated Ligand Docking

Forli, S., & Olson, A. J. (2012) · Journal of Medicinal Chemistry

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 290

Covalent docking using autodock: two-point attractor and flexible side chain methods.

Bianco, G., Forli, S., Goodsell, D. S., & Olson, A. J. (2016) · Protein Science

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 246

Building structural models of a whole mycoplasma cell

Maritan, M., Autin, L., Karr, J., Covert, M. W., Olson, A. J., & Goodsell, D. S. (2022) · Journal of Molecular Biology

Protein Structure and DynamicsRNA and protein synthesis mechanisms

Cited by 75

Stabilizers of the Max Homodimer Identified in Virtual Ligand Screening Inhibit Myc Function

Jiang, H., Bower, K. E., Beuscher, A. E., Zhou, B., Bobkov, A. A., Olson, A. J., & Vogt, P. K. (2009) · Molecular Pharmacology

Computational Drug Discovery MethodsCancer-related Molecular Pathways

Cited by 62

Robust scoring functions for protein-ligand interactions with quantum chemical charge models.

Wang, J.-C., Lin, J.-H., Chen, C.-M., Perryman, A. L., & Olson, A. J. (2011) · Journal of Chemical Information and Modeling

Computational Drug Discovery MethodsAdvanced Chemical Physics Studies

Cited by 54

Virtual screening with AutoDock Vina and the common pharmacophore engine of a low diversity library of fragments and hits against the three allosteric sites of HIV integrase: participation in the SAMPL4 protein–ligand binding challenge

Perryman, A. L., Santiago, D. N., Forli, S., Santos-Martins, D., & Olson, A. J. (2014) · Journal of Computer-Aided Molecular Design

Computational Drug Discovery MethodsProtein Structure and Dynamics

Cited by 46