Drug-induced Diseases: Computational Approaches for Averting It

Submission Deadline: 10 Dec 2021

Guest Editor

  • Portrait of Guest Editor Alla P.  Toropova

    Alla P. Toropova

    Laboratory of Environmental Chemistry and Toxicology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milano, Italy

    Interests: QSPR/QSAR; Monte Carlo Method; Nanoinformatics; Toxicology; Nanotoxicology; Drug Discovery

Special Issue Information

Dear Colleagues,

The aim of the special issue "Drug-induced Diseases: computational approaches for averting it" is the consolidation of activities of experts in the field of bioscience with activities of experts in the field of computational chemistry.

The articles in this special issue should cover the important aspects around bioscience including supplying novel ideas how use the computational approaches. Interrelations of bioscience with computational chemistry give the important results applied in the practical work of medicine, biology, theoretical chemistry, and biochemistry. In silico analysis is a widely used tool for improving knowledge in the fields of Drug Discovery. Besides, it is encouraged the following: the selection of promising molecules, development of new computational approaches for drug discovery, and drug-toxicity assessment, which can be applied in medicinal chemistry and biosciences.

Dr. Alla P. Toropova

Guest Editor

Keywords

  • Drug Discovery
  • Drug Design
  • Monte Carlo Method
  • Modeling for Risk Assessment
  • Machine Learning
  • QSAR/QSPR Modelling
  • Molecular Docking
  • Medicinal Chemistry
  • Theoretical Chemistry
  • Biochemistry

Published Paper (1)

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