COMPUTER AIDED DRUG DESIGN (CADD)

  • Unique Paper ID: 152453
  • Volume: 8
  • Issue: 3
  • PageNo: 362-364
  • Abstract:
  • The development of drugs is a very complex process that requires a lot of time. with the proliferation of free chemo software and data for chemo informatics and structural bioinformatics, computer-assisted drug design (CADD) research is further developed in modular, reproducible, and easy-share lines. While documentation of such tools is available, there are a some accessible examples that teach key concepts focused on CADD, especially addressing new users in the field The main purpose of this review article is to give a brief overview of designing new drugs and spending less time and money.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{152453,
        author = {Rucha S waghmode and Akshata B. Lasure and Shyamlila B Bavage and Nandkishor B. Bavage},
        title = {COMPUTER AIDED DRUG DESIGN (CADD)},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {3},
        pages = {362-364},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152453},
        abstract = {The development of drugs is a very complex process that requires a lot of time. with the proliferation of free chemo software and data for chemo informatics and structural bioinformatics, computer-assisted drug design (CADD) research is further developed in modular, reproducible, and easy-share lines. While documentation of such tools is available, there are a some accessible examples that teach key concepts focused on CADD, especially addressing new users in the field The main purpose of this review article is to give a brief overview of designing new drugs and spending less time and money.},
        keywords = {Bioinformatics,  Homology  analysis, Molecular docking, De novo drug design, Virtual screening (VS), Quantitative structure-activity relationships (QSARs)Molecular modeling ,Biological target},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 8
  • Issue: 3
  • PageNo: 362-364

COMPUTER AIDED DRUG DESIGN (CADD)

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