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Journal of Chemical Information and Modeling (JCIM)

Publisher :

American Chemical Society (ASC)

Scopus Profile
Peer reviewed only
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Open Access
  • Chemical literature
  • Chemistry
  • Chemistry Information services

    • +1

e-ISSN :

1549-960X

Issue Frequency :

Monthly

Impact Factor :

5.9

p-ISSN :

1549-9596

Est. Year :

1961

Mobile :

8002275558

DOI :

YES

Country :

United States

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

eic@jcim.acs.org

Journal Descriptions

The Journal of Chemical Information and Modeling (JCIM) publishes papers reporting new methodologies in chemical informatics and molecular modeling and its applications with experimental validation. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer simulation using molecular dynamics and free energy methods, machine learning on chemical and biological data, combined quantum mechanical/molecular mechanical (QM/MM) multi-scale simulations, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. JCIM will not consider straightforward applications of molecular docking methods to a single target system without adequate experimental validation. Chemists, computer scientists, and information specialists look to JCIM for insightful research studies, programming innovations, reviews, perspectives, and viewpoints to keep current with advances in this integral, multidisciplinary field.


Journal of Chemical Information and Modeling (JCIM) is :

International, Peer-Reviewed, Open Access, Refereed, Chemical literature, Chemistry, Chemistry Information services, multidisciplinary , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 1549-9596, E-ISSN - 1549-960X, Established in - 1961, Impact Factor - 5.9

Provide Crossref DOI

Indexed in Scopus, WoS, PubMed

Not indexed in DOAJ, UGC CARE

Indexing

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+9 More

Publications of JCIM

  • dott image David Buterez
  • dott image April, 2023

MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning

High-throughput screening (HTS), as one of the key techniques in drug discovery, is frequently used to identify promising drug candidates in a largely automated and cost-effective way. One o...

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