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ORCIDMaurizio Botta
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2010 – 2019
- 2015
[j16]Roberta Fazi, Cristina Tintori, Annalaura Brai
, Lorenzo Botta, Manikandan Selvaraj, Anna Garbelli, Giovanni Maga, Maurizio Botta:
Homology Model-Based Virtual Screening for the Identification of Human Helicase DDX3 Inhibitors. J. Chem. Inf. Model. 55(11): 2443-2454 (2015)- [j15]Ylenia Cau, Annarita Fiorillo, Mattia Mori, Andrea Ilari, Maurizio Botta, Marco Lalle:
Molecular Dynamics Simulations and Structural Analysis of Giardia duodenalis 14-3-3 Protein-Protein Interactions. J. Chem. Inf. Model. 55(12): 2611-2622 (2015) - 2014
- [j14]Anna Lucia Fallacara, Cristina Tintori, Marco Radi, Silvia Schenone, Maurizio Botta:
Insight into the Allosteric Inhibition of Abl Kinase. J. Chem. Inf. Model. 54(5): 1325-1338 (2014) - 2013
- [j13]Luca Bellucci, Lucilla Angeli, Andrea Tafi, Marco Radi, Maurizio Botta:
Unconventional Plasticity of HIV-1 Reverse Transcriptase: How Inhibitors Could Open a Connection "Gate" between Allosteric and Catalytic Sites. J. Chem. Inf. Model. 53(12): 3117-3122 (2013) - 2011
- [j12]Mattia Mori, Fabrizio Manetti, Maurizio Botta:
Predicting the Binding Mode of Known NCp7 Inhibitors To Facilitate the Design of Novel Modulators. J. Chem. Inf. Model. 51(2): 446-454 (2011) - 2010
- [j11]Mattia Mori, Ursula Dietrich, Fabrizio Manetti, Maurizio Botta:
Molecular Dynamics and DFT Study on HIV-1 Nucleocapsid Protein-7 in Complex with Viral Genome. J. Chem. Inf. Model. 50(4): 638-650 (2010) - [j10]Tiziano Tuccinardi, Maurizio Botta, Antonio Giordano, Adriano Martinelli:
Protein Kinases: Docking and Homology Modeling Reliability. J. Chem. Inf. Model. 50(8): 1432-1441 (2010)
2000 – 2009
- 2008
- [j9]Cristina Tintori, Valentina Corradi, Matteo Magnani, Fabrizio Manetti, Maurizio Botta:
Targets Looking for Drugs: A Multistep Computational Protocol for the Development of Structure-Based Pharmacophores and Their Applications for Hit Discovery. J. Chem. Inf. Model. 48(11): 2166-2179 (2008) - 2007
- [j8]Tiziano Tuccinardi, Fabrizio Manetti, Silvia Schenone, Adriano Martinelli, Maurizio Botta:
Construction and Validation of a RET TK Catalytic Domain by Homology Modeling. J. Chem. Inf. Model. 47(2): 644-655 (2007) - [j7]Stefano Forli, Maurizio Botta:
Lennard-Jones Potential and Dummy Atom Settings to Overcome the AUTODOCK Limitation in Treating Flexible Ring Systems. J. Chem. Inf. Model. 47(4): 1481-1492 (2007) - [j6]Cristina Tintori, Fabrizio Manetti, Nevena Veljkovic, Vladimir Perovic, Jo Vercammen, Sean Hayes, Silvio Massa, Myriam Witvrouw, Zeger Debyser, Veljko Veljkovic, Maurizio Botta:
Novel Virtual Screening Protocol Based on the Combined Use of Molecular Modeling and Electron-Ion Interaction Potential Techniques To Design HIV-1 Integrase Inhibitors. J. Chem. Inf. Model. 47(4): 1536-1544 (2007) - 2006
- [j5]Fabrizio Manetti, Cristina Tintori, Mercedes Armand-Ugón, Imma Clotet-Codina, Silvio Massa, Rino Ragno, José A. Esté, Maurizio Botta:
A Combination of Molecular Dynamics and Docking Calculations to Explore the Binding Mode of ADS-J1, a Polyanionic Compound Endowed with Anti-HIV-1 Activity. J. Chem. Inf. Model. 46(3): 1344-1351 (2006) - [j4]Laura Maccari, Matteo Magnani, Giovannella Strappaghetti, Federico Corelli, Maurizio Botta, Fabrizio Manetti:
A Genetic-Function-Approximation-Based QSAR Model for the Affinity of Arylpiperazines toward alpha1 Adrenoceptors. J. Chem. Inf. Model. 46(3): 1466-1478 (2006) - 2004
- [j3]David W. Salt, Laura Maccari, Maurizio Botta, Martyn G. Ford:
Variable selection and specification of robust QSAR models from multicollinear data: arylpiperazinyl derivatives with affinity and selectivity for α2-adrenoceptors. J. Comput. Aided Mol. Des. 18(7): 495-509 (2004) - 2000
- [j2]Fabrizio Manetti, Federico Corelli, Nicola Mongelli, Andrea Lombardi Borgia, Maurizio Botta:
Research on anti-HIV-1 agents. Investigation on the CD4-Suradista binding mode through docking experiments. J. Comput. Aided Mol. Des. 14(4): 355-368 (2000)
1990 – 1999
- 1992
- [j1]Stephen Hanessian, Maurizio Botta, Benoit Larouche, Ani Boyaroglu:
Computer-assisted perception of similarity using the Chiron program: a powerful tool for the analysis and prediction of biogenetic patterns. J. Chem. Inf. Comput. Sci. 32(6): 718-722 (1992)
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