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Claudio CAVASOTTO | Professor (Full) - ResearchGate
https://www.researchgate.net/profile/Claudio-Cavasotto
Claudio Cavasotto. The diffusivity of glucose was studied in confined environment of a 10 nm silica nanochannel to evaluate the influence of the interface on glucose transport at a …
Claudio Cavasotto - Google Scholar
https://scholar.google.com.ar/citations?user=w1bT64UAAAAJ&hl=en
Claudio Cavasotto. Translational Medicine Research Institute, CONICET-Universidad Austral. Verified email at austral.edu.ar. Computational drug design Biomedical informatics Biomolecular simulation Chemoinformatics Artificial intelligence. Articles Cited by Public access Co-authors.
Claudio Cavasotto (0000-0002-1372-0379) - ORCID
https://orcid.org/0000-0002-1372-0379
Source: Claudio Cavasotto via Crossref Metadata Search grade . Preferred source (of 2) A fluorescence nanoscopy marker for corticotropin-releasing hormone type 1 receptor: computer design, synthesis, signaling effects, super-resolved fluorescence imaging, and in situ affinity constant in cells. Physical Chemistry Chemical Physics ...
Claudio N. Cavasotto Contact Information: Instituto de ...
http://brazmedchem.iqsc.usp.br/2014/comum/CV/Claudio_Cavasotto_CV.pdf
Claudio N. Cavasotto Contact Information: Instituto de Investigaciones en Biomedicina de Buenos Aires - CONICET - Max Planck Society Partner (IBioBA-MPSP) Godoy Cruz 2390 3rd Floor C1425FQD Buenos Aires Argentina Email: [email protected]; [email protected] Education Ph.D. Physics, University of Buenos Aires, Argentina, 1999.
Ver Autor CLAUDIO NORBERTO CAVASOTTO
https://ri.conicet.gov.ar/author/43599
Artículo Open challenges in structure-based virtual screening: Receptor modeling, target flexibility consideration and active site water molecules description. Spyrakis, Francesca; Cavasotto, Claudio Norberto (Elsevier, 2015-10) Artículo Quantum chemical approaches in structure-based virtual screening and lead optimization.
Cavasotto Lab - Databases
http://cavasotto-lab.net/Databases/GDD/
In this paper, we also showed the performance in docking of the GDD evaluated on 19 GPCRs compared to bias-uncorrected decoys sets, together with an assessment of the use of different charge-related properties in decoy generation. For comments, please contact Claudio Cavasotto at [email protected].
In Silico Drug Discovery and Design 1st edition ...
https://www.vitalsource.com/mx/en-us/products/in-silico-drug-discovery-and-design-claudio-n-cavasotto-v9781482217858
In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications 1st Edition is written by Claudio N. Cavasotto and published by CRC Press. The Digital and eTextbook ISBNs for In Silico Drug Discovery and Design are 9781482217858, 1482217856 and the print ISBNs are 9781482217834, 148221783X. Save up to 80% versus print by going digital with VitalSource.
Quantum mechanical binding free energy calculation for ...
https://experts.illinois.edu/en/publications/quantum-mechanical-binding-free-energy-calculation-for-phosphopep
Victor M. Anisimov, Claudio N. Cavasotto. Research output: Contribution to journal › Article › peer-review. Overview; Fingerprint; Abstract. The accurate and efficient calculation of binding free energies is essential in computational biophysics. We present a linear-scaling quantum mechanical (QM)-based end-point method termed MM/QM-COSMO ...
Welcome to the Cavasotto Group
http://cavasotto-lab.net/
Welcome to the Cavasotto Group Computational Chemistry and Drug Design. Our research area encompasses biomolecular simulation and modelling, and rational drug design. Our group develops and applies computational methods to study molecular interactions in biological systems, and uses this knowledge to design molecules which modulate targets of ...
In Silico Drug Discovery and Design | Theory, Methods ...
https://www.taylorfrancis.com/books/edit/10.1201/b18799/silico-drug-discovery-design-claudio-cavasotto
By Chung F. Wong. In Silico Drug Discovery and Design: Theory, Methods, Challenges, and Applications provides a comprehensive, unified, and in-depth overview of the current methodological strategies in computer-aided drug discovery and design. Its main aims are to introduce the theoretical framework and algorithms, discuss the range of validity ...
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