Ajou University repository

Molecular Diversity
ISSN
  • E1573-501X
  • P1381-1991
Publisher

Kluwer Academic Publishers

Listed on
(Coverage)

JCR1997-2001;2007-2023

SJR1999-2020;2022-2023

CiteScore2011-2023

SCIE2010-2024

CC2016-2024

SCOPUS2017-2024

MEDLINE2016-2024

EMBASE2016-2024

Active
Active

based on the information

  • SCOPUS:2024-10
Country
NETHERLANDS
Aime & Scopes
Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis small molecule libraries microwave synthesis flow synthesis fluorous synthesis diversity oriented synthesis (DOS) nanoreactors click chemistry multiplex technologies fragment- and ligand-based design structure/function/SAR computational chemistry and molecular design chemoinformatics screening techniques and screening interfaces analytical and purification methods robotics, automation and miniaturization targeted libraries display libraries peptides and peptoids proteins oligonucleotides carbohydrates natural diversity new methods of library formulation and deconvolution directed evolution, origin of life and recombination search techniques, landscapes, random chemistry and more The journal will accept two types of manuscripts: (i) Full length papers giving a comprehensive description of original work. (ii) Short communications for rapid publication of novel observations. In addition, Perspectives, Reviews and Conference Reports are published occasionally.
Article List

Showing results 1 to 1 of 1

Computational design of MMP-13 inhibitors using a combined approach of machine learning, docking, and molecular dynamicsoa mark
  • Manan, Abdul;
  • Ilyas, Sidra;
  • Kim, Eunha;
  • Choi, Sangdun;
  • Lee, Donghun
  • 2025-01-01
  • Molecular Diversity
  • Springer Nature
1