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ReactionPredictor: Prediction of Complex Chemical Reactions at the Mechanistic Level Using Machine Learning
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ReactionPredictor: Prediction of Complex Chemical Reactions at the Mechanistic Level Using Machine Learning

Kayala, Matthew A ; Baldi, Pierre

Journal of chemical information and modeling, 2012-10, Vol.52 (10), p.2526-2540 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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2
Potential and Limitations of Ensemble Docking
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Potential and Limitations of Ensemble Docking

Korb, Oliver ; Olsson, Tjelvar S. G. ; Bowden, Simon J. ; Hall, Richard J. ; Verdonk, Marcel L. ; Liebeschuetz, John W. ; Cole, Jason C.

Journal of chemical information and modeling, 2012-05, Vol.52 (5), p.1262-1274 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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3
Performance Evaluation of 2D Fingerprint and 3D Shape Similarity Methods in Virtual Screening
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Performance Evaluation of 2D Fingerprint and 3D Shape Similarity Methods in Virtual Screening

Hu, Guoping ; Kuang, Guanglin ; Xiao, Wen ; Li, Weihua ; Liu, Guixia ; Tang, Yun

Journal of chemical information and modeling, 2012-05, Vol.52 (5), p.1103-1113 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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4
Recipes for the Selection of Experimental Protein Conformations for Virtual Screening
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Recipes for the Selection of Experimental Protein Conformations for Virtual Screening

Rueda, Manuel ; Bottegoni, Giovanni ; Abagyan, Ruben

Journal of chemical information and modeling, 2010-01, Vol.50 (1), p.186-193 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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5
New Aryl Hydrocarbon Receptor Homology Model Targeted To Improve Docking Reliability
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New Aryl Hydrocarbon Receptor Homology Model Targeted To Improve Docking Reliability

Motto, Ilaria ; Bordogna, Annalisa ; Soshilov, Anatoly A ; Denison, Michael S ; Bonati, Laura

Journal of chemical information and modeling, 2011-11, Vol.51 (11), p.2868-2881 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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6
Predicting Ligand Binding Modes from Neural Networks Trained on Protein–Ligand Interaction Fingerprints
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Predicting Ligand Binding Modes from Neural Networks Trained on Protein–Ligand Interaction Fingerprints

Chupakhin, Vladimir ; Marcou, Gilles ; Baskin, Igor ; Varnek, Alexandre ; Rognan, Didier

Journal of chemical information and modeling, 2013-04, Vol.53 (4), p.763-772 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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7
New Model of Cystic Fibrosis Transmembrane Conductance Regulator Proposes Active Channel-like Conformation
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New Model of Cystic Fibrosis Transmembrane Conductance Regulator Proposes Active Channel-like Conformation

Dalton, James ; Kalid, Ori ; Schushan, Maya ; Ben-Tal, Nir ; Villà-Freixa, Jordi

Journal of chemical information and modeling, 2012-07, Vol.52 (7), p.1842-1853 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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8
Scaffold-Focused Virtual Screening: Prospective Application to the Discovery of TTK Inhibitors
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Scaffold-Focused Virtual Screening: Prospective Application to the Discovery of TTK Inhibitors

Langdon, Sarah R ; Westwood, Isaac M ; van Montfort, Rob L. M ; Brown, Nathan ; Blagg, Julian

Journal of chemical information and modeling, 2013-05, Vol.53 (5), p.1100-1112 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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9
Protein Flexibility in Virtual Screening: The BACE‑1 Case Study
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Protein Flexibility in Virtual Screening: The BACE‑1 Case Study

Cosconati, Sandro ; Marinelli, Luciana ; Di Leva, Francesco Saverio ; La Pietra, Valeria ; De Simone, Angela ; Mancini, Francesca ; Andrisano, Vincenza ; Novellino, Ettore ; Goodsell, David S ; Olson, Arthur J

Journal of chemical information and modeling, 2012-10, Vol.52 (10), p.2697-2704 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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10
High-Throughput Virtual Screening of Proteins Using GRID Molecular Interaction Fields
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High-Throughput Virtual Screening of Proteins Using GRID Molecular Interaction Fields

Sciabola, Simone ; Stanton, Robert V ; Mills, James E ; Flocco, Maria M ; Baroni, Massimo ; Cruciani, Gabriele ; Perruccio, Francesca ; Mason, Jonathan S

Journal of chemical information and modeling, 2010-01, Vol.50 (1), p.155-169 [Peer Reviewed Journal]

Washington, DC: American Chemical Society

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