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Virtual Screening of Marine Natural Compounds by Means of Chemoinformatics and CDFT-Based Computational Peptidology.
Flores-Holguín, Norma; Frau, Juan; Glossman-Mitnik, Daniel.
Affiliation
  • Flores-Holguín N; Laboratorio Virtual NANOCOSMOS, Departamento de Medio Ambiente y Energía, Centro de Investigación en Materiales Avanzados, Chihuahua, Chih 31136, Mexico.
  • Frau J; Departament de Química, Universitat de les Illes Balears, E-07122 Palma de Malllorca, Spain.
  • Glossman-Mitnik D; Laboratorio Virtual NANOCOSMOS, Departamento de Medio Ambiente y Energía, Centro de Investigación en Materiales Avanzados, Chihuahua, Chih 31136, Mexico.
Mar Drugs ; 18(9)2020 Sep 20.
Article in En | MEDLINE | ID: mdl-32962305
This work presents the results of a computational study of the chemical reactivity and bioactivity properties of the members of the theopapuamides A-D family of marine peptides by making use of our proposed methodology named Computational Peptidology (CP) that has been successfully considered in previous studies of this kind of molecular system. CP allows for the determination of the global and local descriptors that come from Conceptual Density Functional Theory (CDFT) that can give an idea about the chemical reactivity properties of the marine natural products under study, which are expected to be related to their bioactivity. At the same time, the validity of the procedure based on the adoption of the KID (Koopmans In DFT) technique, as well as the MN12SX/Def2TZVP/H2O model chemistry is successfully verified. Together with several chemoinformatic tools that can be used to improve the process of virtual screening, some additional properties of these marine peptides are identified related to their ability to behave as useful drugs. With the further objective of analyzing their bioactivity, some useful parameters for future QSAR studies, their predicted biological targets, and the ADMET (Absorption, Distribution, Metabolism, Excretion and Toxicity) parameters related to the theopapuamides A-D pharmacokinetics are also reported.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Depsipeptides / Cheminformatics Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Language: En Journal: Mar Drugs Journal subject: BIOLOGIA / FARMACOLOGIA Year: 2020 Document type: Article Affiliation country: Mexico Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Depsipeptides / Cheminformatics Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Language: En Journal: Mar Drugs Journal subject: BIOLOGIA / FARMACOLOGIA Year: 2020 Document type: Article Affiliation country: Mexico Country of publication: Switzerland