Computer-Aided Development: Recent Advances and Expectations

A special issue of Pharmaceutics (ISSN 1999-4923). This special issue belongs to the section "Drug Targeting and Design".

Deadline for manuscript submissions: 20 November 2024 | Viewed by 1315

Special Issue Editor


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Guest Editor
Laboratorio de Investigación y Desarrollo de Bioactivos (LIDeB), Universidad Nacional de La Plata, 47/115, La Plata, Buenos Aires 1900, Argentina
Interests: drug reposition; drug repurposing; polypharmacology; bioinformatics

Special Issue Information

Dear Colleagues,

Computer-aided drug development involves the application of information technologies to identify and develop, on a rational ground, chemical compounds with therapeutic potential. Most often, this encompasses the identification, design and/or modification of an active scaffold (or the combination of known active scaffolds). Classically, drug design processes have focused on the molecular determinants of the interactions between drug candidates and their intended molecular target(s). Nevertheless, in modern times, drug discovery and design are conceived as a particularly complex multiparameter optimization task due to the complicated, often conflicting, property requirements. Computational approaches are also being actively investigated to propose novel pharmacological targets, optimize the design of clinical trials and partially replace participants by computational counterparts (avatar clinical research).

For this Special Issue of Pharmaceutics, we welcome the submission of primary research and review articles that are focused on drug design, drug development, de novo drug design, molecular dynamics, artificial intelligence/machine learning and network pharmacology.

Prof. Dr. Alan Talevi
Guest Editor

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Keywords

  • ADME
  • ADMET
  • antitarget
  • drug design
  • computer-aided drug design
  • computer-assisted drug design
  • computer-guided drug design
  • ligand-based approaches
  • machine learning
  • deep learning
  • de novo drug design
  • fragment-based drug design
  • avatar clinical research

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Published Papers (1 paper)

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Research

18 pages, 6366 KiB  
Article
In Silico Screening Identification of Fatty Acids and Fatty Acid Derivatives with Antiseizure Activity: In Vitro and In Vivo Validation
by Emilia Mercedes Barrionuevo, Estefanía Peralta, Agustín Manzur De Nardi, Juliana Monat, Maximiliano José Fallico, Manuel Augusto Llanos, Luciana Gavernet, Emilio Román Mustafá, Pedro Martin and Alan Talevi
Pharmaceutics 2024, 16(8), 996; https://doi.org/10.3390/pharmaceutics16080996 - 27 Jul 2024
Viewed by 892
Abstract
High fat diets have been used as complementary treatments for seizure disorders for more than a century. Moreover, many fatty acids and derivatives, including the broad-spectrum antiseizure medication valproic acid, have been explored and used as pharmacological agents to treat epilepsy. In this [...] Read more.
High fat diets have been used as complementary treatments for seizure disorders for more than a century. Moreover, many fatty acids and derivatives, including the broad-spectrum antiseizure medication valproic acid, have been explored and used as pharmacological agents to treat epilepsy. In this work, we have explored the anticonvulsant potential of a large library of fatty acids and fatty acid derivatives, the LIPID MAPS Structure Database, using structure-based virtual screening to assess their ability to block the voltage-gated sodium channel 1.2 (NaV1.2), a validated target for antiseizure medications. Four of the resulting in silico hits were submitted for experimental confirmation using in vitro patch clamp experiments, and their protective role was evaluated in an acute mice seizure model, the Maximal Electroshock seizure model. These four compounds were found to protect mice against seizures. Two of them exhibited blocking effects on NaV1.2, CaV2.2, and CaV3.1. Full article
(This article belongs to the Special Issue Computer-Aided Development: Recent Advances and Expectations)
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