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| Journal of Chemical Information and Modeling | |
|---|---|
| Title | Journal of Chemical Information and Modeling |
| Discipline | Chemistry |
| Abbreviation | J. Chem. Inf. Model. |
| Publisher | American Chemical Society |
| Country | United States |
| Frequency | Monthly |
| History | 1961–present |
| Issn | 1549-9596 |
Journal of Chemical Information and Modeling The Journal of Chemical Information and Modeling is a peer‑reviewed scientific journal published by the American Chemical Society that covers research at the intersection of chemistry and computational methods. It publishes original research, reviews, and perspectives on computational modeling, cheminformatics, and data‑driven approaches relevant to pharmaceutical industry stakeholders, academic groups, and government laboratories. The journal serves readers interested in algorithm development, molecular representation, and predictive modeling used in contexts such as U.S. Food and Drug Administration, European Medicines Agency, and industrial drug discovery workflows.
Founded as a successor to earlier ACS publications during a period of expansion in computational chemistry, the journal evolved alongside milestones such as the development of the Human Genome Project, the emergence of Gaussian (software), and the popularization of methods from groups including those led by Martin Karplus, Arieh Warshel, and Michael Levitt. Editorial leadership has included editors connected with institutions like Massachusetts Institute of Technology, University of California, Berkeley, and Stanford University. The journal’s trajectory reflects influences from events and initiatives including the Protein Data Bank expansion, adoption of standards by the International Union of Pure and Applied Chemistry, and collaborations with professional societies such as the Royal Society of Chemistry.
The journal addresses topics spanning molecular modeling techniques used by researchers at Pfizer, Novartis, GlaxoSmithKline, and academic groups at Harvard University, University of Cambridge, and ETH Zurich. Subject areas include force field development related to the work of Peter Kollman and others, quantum chemical methods exemplified by Paul Dirac‑era foundations and modern implementations like Density Functional Theory (DFT) packages by teams at IBM Research, and cheminformatics algorithms influenced by groups at Broad Institute and Scripps Research. Studies often cite datasets curated in resources such as ChEMBL, PubChem, and the Cambridge Structural Database. Methodological connections extend to machine learning research from Google DeepMind, OpenAI, and labs at Carnegie Mellon University and University of Toronto.
Published monthly by the American Chemical Society, editorial policies align with best practices promoted by organizations such as the Committee on Publication Ethics and standards advocated by the National Institutes of Health. The editorial board has included scholars from Yale University, Princeton University, California Institute of Technology, and Columbia University. Manuscripts undergo peer review by experts drawn from research centers including Lawrence Berkeley National Laboratory, Los Alamos National Laboratory, and industry labs at Bayer. Data and code availability reflect recommendations from stakeholders such as the Wellcome Trust and consortia including the Research Data Alliance.
The journal is indexed in major services used by researchers affiliated with Clarivate, Scopus (Elsevier), and library consortia at Harvard Library, Library of Congress, and British Library. Abstracting and indexing facilitate discoverability in platforms like PubMed, Web of Science, and institutional repositories operated by MIT Libraries and Stanford Libraries. University subscription access is common across campuses such as University of Michigan, University of Oxford, and University of Tokyo.
Articles from the journal inform regulatory submissions to agencies including the European Medicines Agency and influence methodological standards cited by award committees such as those for the Nobel Prize in Chemistry. Prominent authors have affiliations with Roche, Merck & Co., AstraZeneca, and academic research centers at Imperial College London. Citation metrics reported by services like Journal Citation Reports and analyses by Google Scholar reflect the journal’s role in shaping computational approaches used by consortia such as the Medicines for Malaria Venture and public‑private partnerships involving the Bill & Melinda Gates Foundation.
The journal has published influential articles on molecular docking used in projects from Rosetta (software) developers, virtual screening campaigns referenced by Docking@Home‑style efforts, and machine learning approaches that build on techniques from DeepChem and teams at Harvard Medical School. Special issues have highlighted themes aligned with initiatives at National Science Foundation, center grants from European Research Council, and collaborative workshops run by Gordon Research Conferences and Cold Spring Harbor Laboratory.
Access is provided through subscriptions held by institutions such as University of California campuses, national libraries including the National Diet Library (Japan), and corporate subscribers at firms like Johnson & Johnson. Licensing and open access options follow ACS policies and intersect with funder mandates from agencies such as the Wellcome Trust, European Research Council, and the National Institutes of Health. Authors from institutions participating in transformative agreements with publishers like Jisc and national consortia in countries such as Germany and France may have fee arrangements for article processing charges.
Category:Chemistry journals Category:American Chemical Society academic journals