Year |
Citation |
Score |
2018 |
Pulugulla SH, Workman R, Rutter NW, Yang Z, Adamik J, Lupish B, Macar DA, El Abdouni S, Esposito EX, Galson DL, Camacho CJ, Madura JD, Auron PE. A combined computational and experimental approach reveals the structure of a C/EBPβ:Spi-1 interaction required for gene transcription. The Journal of Biological Chemistry. PMID 30355733 DOI: 10.1074/Jbc.Ra118.005627 |
0.662 |
|
2018 |
Sharma SK, Yip C, Esposito EX, Sharma PV, Simon MP, Abel-Santos E, Firestine SM. The Design, Synthesis and Characterizations of Spore Germination Inhibitors Effective against an Epidemic Strain of Clostridium difficile. Journal of Medicinal Chemistry. PMID 30004695 DOI: 10.1021/Acs.Jmedchem.8B00632 |
0.312 |
|
2018 |
Lin FY, Esposito EX, Tseng YJ. LeadOp+R: Structure-Based Lead Optimization With Synthetic Accessibility. Frontiers in Pharmacology. 9: 96. PMID 29556192 DOI: 10.3389/Fphar.2018.00096 |
0.317 |
|
2016 |
Berberich JA, Stouch TR, Manepalli S, Esposito EX, Madura JD. Biological Testing of Organophosphorus-Inactivated Acetylcholinesterase Oxime Reactivators Identified via Virtual Screening. Chemical Research in Toxicology. PMID 27494215 DOI: 10.1021/Acs.Chemrestox.6B00198 |
0.669 |
|
2015 |
Esposito EX, Hopfinger AJ, Shao CY, Su BH, Chen SZ, Tseng YJ. Exploring possible mechanisms of action for the nanotoxicity and protein binding of decorated nanotubes: interpretation of physicochemical properties from optimal QSAR models. Toxicology and Applied Pharmacology. 288: 52-62. PMID 26200234 DOI: 10.1016/J.Taap.2015.07.008 |
0.562 |
|
2015 |
Esposito EX, Hopfinger AJ, Shao CY, Su BH, Chen SZ, Tseng YJ. Exploring possible mechanisms of action for the nanotoxicity and protein binding of decorated nanotubes: Interpretation of physicochemical properties from optimal QSAR models Toxicology and Applied Pharmacology. 288: 52-62. DOI: 10.1016/j.taap.2015.07.008 |
0.502 |
|
2014 |
Felton LA, Popescu C, Wiley C, Esposito EX, Lefevre P, Hopfinger AJ. Experimental and computational studies of physicochemical properties influence NSAID-cyclodextrin complexation. Aaps Pharmscitech. 15: 872-81. PMID 24718709 DOI: 10.1208/S12249-014-0110-2 |
0.492 |
|
2014 |
Esposito EX, Stouch TR, Wymore T, Madura JD. Exploring the physicochemical properties of oxime-reactivation therapeutics for cyclosarin, sarin, tabun, and VX inactivated acetylcholinesterase. Chemical Research in Toxicology. 27: 99-110. PMID 24443939 DOI: 10.1021/Tx400350B |
0.609 |
|
2013 |
Dunbar JB, Smith RD, Damm-Ganamet KL, Ahmed A, Esposito EX, Delproposto J, Chinnaswamy K, Kang YN, Kubish G, Gestwicki JE, Stuckey JA, Carlson HA. CSAR data set release 2012: ligands, affinities, complexes, and docking decoys. Journal of Chemical Information and Modeling. 53: 1842-52. PMID 23617227 DOI: 10.1021/Ci4000486 |
0.404 |
|
2013 |
Chang CY, Hsu MT, Esposito EX, Tseng YJ. Oversampling to overcome overfitting: exploring the relationship between data set composition, molecular descriptors, and predictive modeling methods. Journal of Chemical Information and Modeling. 53: 958-71. PMID 23464929 DOI: 10.1021/Ci4000536 |
0.462 |
|
2013 |
Shao CY, Chen SZ, Su BH, Tseng YJ, Esposito EX, Hopfinger AJ. Dependence of QSAR models on the selection of trial descriptor sets: a demonstration using nanotoxicity endpoints of decorated nanotubes. Journal of Chemical Information and Modeling. 53: 142-58. PMID 23252880 DOI: 10.1021/Ci3005308 |
0.569 |
|
2012 |
Su BH, Tu YS, Esposito EX, Tseng YJ. Predictive toxicology modeling: protocols for exploring hERG classification and Tetrahymena pyriformis end point predictions. Journal of Chemical Information and Modeling. 52: 1660-73. PMID 22642982 DOI: 10.1021/Ci300060B |
0.436 |
|
2012 |
Tseng YJ, Hopfinger AJ, Esposito EX. The great descriptor melting pot: mixing descriptors for the common good of QSAR models. Journal of Computer-Aided Molecular Design. 26: 39-43. PMID 22200979 DOI: 10.1007/S10822-011-9511-4 |
0.606 |
|
2011 |
Smith RD, Dunbar JB, Ung PM, Esposito EX, Yang CY, Wang S, Carlson HA. CSAR benchmark exercise of 2010: combined evaluation across all submitted scoring functions. Journal of Chemical Information and Modeling. 51: 2115-31. PMID 21809884 DOI: 10.1021/Ci200269Q |
0.323 |
|
2011 |
Shen MY, Su BH, Esposito EX, Hopfinger AJ, Tseng YJ. A comprehensive support vector machine binary hERG classification model based on extensive but biased end point hERG data sets. Chemical Research in Toxicology. 24: 934-49. PMID 21504223 DOI: 10.1021/Tx200099J |
0.606 |
|
2010 |
Su BH, Shen MY, Esposito EX, Hopfinger AJ, Tseng YJ. In silico binary classification QSAR models based on 4D-fingerprints and MOE descriptors for prediction of hERG blockage. Journal of Chemical Information and Modeling. 50: 1304-18. PMID 20565102 DOI: 10.1021/Ci100081J |
0.628 |
|
2009 |
Hopfinger AJ, Esposito EX, Llinàs A, Glen RC, Goodman JM. Findings of the challenge to predict aqueous solubility. Journal of Chemical Information and Modeling. 49: 1-5. PMID 19117422 DOI: 10.1021/Ci800436C |
0.489 |
|
2008 |
Zheng T, Hopfinger AJ, Esposito EX, Liu J, Tseng YJ. Membrane-interaction quantitative structure--activity relationship (MI-QSAR) analyses of skin penetration enhancers. Journal of Chemical Information and Modeling. 48: 1238-56. PMID 18507373 DOI: 10.1021/Ci8000277 |
0.568 |
|
2008 |
Liu J, Kern PS, Gerberick GF, Santos-Filho OA, Esposito EX, Hopfinger AJ, Tseng YJ. Categorical QSAR models for skin sensitization based on local lymph node assay measures and both ground and excited state 4D-fingerprint descriptors. Journal of Computer-Aided Molecular Design. 22: 345-66. PMID 18338230 DOI: 10.1007/S10822-008-9190-Y |
0.549 |
|
2008 |
Zheng T, Hopfinger AJ, Esposito EX, Liu J, Tseng YJ. ChemInform Abstract: Membrane-Interaction Quantitative Structure-Activity Relationship (MI-QSAR) Analyses of Skin Penetration Enhancers. Cheminform. 39. DOI: 10.1002/chin.200835217 |
0.462 |
|
2008 |
Esposito EX, Hopfinger AJ, Madura JD. 3D- and nD-QSAR Methods Handbook of Chemoinformatics. 4: 1575-1603. DOI: 10.1002/9783527618279.ch44e |
0.598 |
|
2006 |
Esposito EX, Tobi D, Madura JD. Comparative protein modeling Reviews in Computational Chemistry. 22: 57-167. |
0.498 |
|
2004 |
Esposito EX, Hopfinger AJ, Madura JD. Methods for applying the quantitative structure-activity relationship paradigm. Methods in Molecular Biology (Clifton, N.J.). 275: 131-214. PMID 15141113 DOI: 10.1385/1-59259-802-1:131 |
0.703 |
|
2000 |
Esposito EX, Baran K, Kelly K, Madura JD. Docking of sulfonamides to carbonic anhydrase II and IV. Journal of Molecular Graphics & Modelling. 18: 283-9, 307-8. PMID 11021544 DOI: 10.1016/S1093-3263(00)00040-1 |
0.598 |
|
2000 |
Esposito EX, Baran K, Kelly K, Madura JD. Docking substrates to metalloenzymes Molecular Simulation. 24: 293-306. DOI: 10.1080/08927020008022377 |
0.519 |
|
Show low-probability matches. |