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研究领域

Our labs research consists of three primary projects (HIV, cancer, method development) as described below. Although each project is distinct, there is considerable cohesiveness in terms of desired outcome (quantitative understanding of molecular recognition), methodology (molecular dynamics and docking), and fundamental approach (atomic level structure activity relationships) thus the projects form a synergistic group.

近期论文

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Lang, P.T.; Brozell, S.R.; Mukherjee, S.; Pettersen, E.; Meng, E.; Thomas, V.; Rizzo, R. C.; Case, D. A.; James, T. L.; Kuntz, I. D. DOCK 6: Combining Techniques to Model RNA-Small Molecule Complexes. RNA, 2009, 15, 1219-1230 DOI PMID: 19369428 Balius, T.E.; Rizzo, R. C. Quantitative Prediction of Fold Resistance for Inhibitors of EGFR. Biochemistry, 2009, 48, 8435-8448 DOI PMID: 19627157 McGillick, B. E.; Balius, T.E.; Mukherjee, S.; Rizzo, R. C. Origins of Resistance to the HIVgp41 Viral Entry Inhibitor T20. Biochemistry, 2010, 49, 3575-3592 DOI PMID: 20230061 Mukherjee, S.; Balius, T.E.; Rizzo, R. C. Docking Validation Resources: Protein Family and Ligand Flexibility Experiments. J. Chem. Inf. Model, 2010, 50, 1986-2000 DOI PMID: 21033739 Balius, T. E.; Mukherjee, S.; Rizzo, R. C. Implementation and Evaluation of a Docking-rescoring Method using Molecular Footprint Comparisons. J. Comput. Chem., 2011, 32, 2273-2289 DOI PMID: 21541962 Dufour, A.; Sampson, N. S.; Li, J.; Kuscu, C.; Rizzo, R. C.; DeLeon, J. L.; Zhi, J.; Jaber, N.; Liu, E.; Zucker, S.; Cao, J. Small-molecule anticancer compounds selectively target the hemopexin domain of matrix metalloproteinase-9. Cancer Res., 2011, 71, 4977-4988 DOI PMID: 21646471 Huang, Y.; Rizzo, R. C. A Water-based Mechanism of Specificity and Resistance for Lapatinib with ErbB Family Kinases, Biochemistry, 2012, 51, 2390-2406 DOI PMID: 22352796 Holden, P. M.; Kaur, H.; Gochin, M.; Rizzo, R. C. Footprint-based identification of HIVgp41 inhibitors, Bioorg. Med. Chem. Lett., 2012, 22, 3011–3016 DOI PMID: 22425565 Brozell, S. R.; Mukherjee, S.; Balius, T. E.; Roe, D. R.; Case, D. A.; Rizzo, R. C. Evaluation of DOCK 6 as a Pose Generation and Database Enrichment Tool, J. Comput-Aided Mol. Des., 2012, 26, 749-773 DOI PMID: 22569593 Allen, W. J.; Rizzo, R. C. Computer-Aided Approaches for Targeting HIVgp41, Biology, 2012, 1, 311-338 DOI PMID: 23730525 Berger, W. T.; Ralph, B. P.; Kaczocha, M.; Sun, J.; Balius. T. E.; Rizzo, R. C.; Haj-Dahmane, S.; Ojima, I.; Deutsch, D. G. Targeting Fatty Acid Binding Protein (FABP) Anandamide Transporters - A Novel Strategy for Development of Anti-Inflammatory and Anti-Nociceptive Drugs, PLoS ONE, 2012, 7, e50968 DOI PMID: 23236415 Balius, T. E.; Allen, W. J.; Mukherjee, S.; Rizzo, R. C. Grid-based Molecular Footprint Comparison Method for Docking and De Novo Design: Application to HIVgp41, J. Comput. Chem., 2013, 34, 1226-1240 DOI PMID: 23436713 Furt, F.; Allen, W. J.; Widhalm, J. R.; Madzelan, P.; Rizzo, R. C.; Basset, G.; Wilson, M. A. Functional Convergence of Structurally Distinct Thioesterases from Cyanobacteria and Plants Involved in Phylloquinone Biosynthesis, Acta Cryst., 2013, D69, 1876-1888 DOI PMID: 24100308 Holden, P. M.; Allen, W. J.; Gochin, M.; Rizzo, R. C. Strategies for Lead Discovery: Application of Footprint Similarity Targeting HIVgp41, Bioorg. Med. Chem., 2014, 22, 651-661 DOI PMID: 24315195 Allen, W. J.; Rizzo, R. C. Implementation of the Hungarian Algorithm to Account for Ligand Symmetry and Similarity in Structure-Based Design, J. Chem. Inf. Model., 2014, 54, 518-529 DOI PMID: 24410429 Kaczocha, M.; Rebecchi, M. J.; Ralph, B. P.; Teng, Y. G.; Berger, W. T.; Galbavy, W.; Elmes, M. W.; Glaser, S. T.; Wang, L.; Rizzo, R. C.; Deutsch, D. G.; Ojima, I. Inhibition of Fatty Acid Binding Proteins Elevates Brain Anandamide Levels and Produces Analgesia, PLoS One, 2014, 9, e94200 DOI PMID: 24705380 Jiang, L.; Rizzo, R. C. Pharmacophore-Based Similarity Scoring for DOCK, J. Phys. Chem. B., 2015, 119, 1083-1102 DOI PMID:25229837

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