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Journal of Computer-Aided Molecular Design (JCAMD)

Publisher :

Springer Nature Switzerland AG

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Drug Discovery
  • Chemistry
  • Pharmaceutical
  • +4

e-ISSN :

1573-4951

Issue Frequency :

Monthly

Impact Factor :

3.0

p-ISSN :

0920-654X

Est. Year :

1987

Mobile :

410417473699

Country :

Switzerland

Language :

English

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

Journalpermissions@springernature.com

Journal Descriptions

The Journal of Computer-Aided Molecular Design provides a forum for disseminating information on both the theory and the application of computer-based methods in the analysis and design of molecules. The scope of the journal encompasses papers which report new and original research and applications in the following areas: theoretical chemistry computational chemistry computer and molecular graphics molecular modeling protein engineering drug design expert systems general structure-property relationships molecular dynamics chemical database development and usage Contributions on computer-aided molecular modeling studies in pharmaceutical, polymer, materials and surface sciences, as well as other molecular-based disciplines, are particularly welcome.


Journal of Computer-Aided Molecular Design (JCAMD) is :

International, Peer-Reviewed, Open Access, Refereed, Drug Discovery, Chemistry, Pharmaceutical, Biochemistry, Computer Science, Physical, Pharmacology , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 0920-654X, E-ISSN - 1573-4951, Established in - 1987, Impact Factor - 3.0

Not Provide Crossref DOI

Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Publications of JCAMD

Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides

The blood-brain barrier (BBB) is the primary barrier with a highly selective semipermeable border between blood vascular endothelial cells and the central nervous system. Since BBB can preve...

Improved prediction and characterization of blood-brain barrier penetrating peptides using estimated propensity scores of dipeptides

The blood-brain barrier (BBB) is the primary barrier with a highly selective semipermeable border between blood vascular endothelial cells and the central nervous system. Since BBB can preve...

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