Редакционная политика
Тематика журнала
Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design.
Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews/mini-reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, 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 etc., providing excellent rationales for drug development.
Разделы и направления
Chemistry
Рецензирование
Bentham Science Publishers follows the double-blind peer review procedure for submissions of all manuscripts to its journals.
All submitted articles are subjected to an extensive peer review in consultation with members of the journal’s editorial board and independent external referees (usually three reviewers). All manuscripts/chapters are assessed rapidly and the decision based on all the peer reviewers' comments, taken by the journal’s Editor-in-Chief, is then conveyed to the author(s).
Submissions from the Editor-in-Chief/Co-Editor/Editorial Board Members will undergo independent peer review and will be submitted to another Editor for his decision on acceptance. For further details, please visit complete guidelines at: https://benthamscience.com/pages/peer-reviews
Use of Generative AI and AI-assisted Technologies in the Peer Review Process
Since the use of AI technology has increased, it has brought its own challenges regarding the originality of the review of submitted manuscripts. Bentham Science has been striving to improve its policies accordingly. With time, we will continue to update our policies to support our reviewers, authors, and editors.
The quality of the peer review of submitted articles has been our top priority. The reviewers are advised not to use AI technologies or any other related assisting resources to generate review reports that could compromise the integrity and confidentiality of the reports.
The full Reviewer Guidelines are available here: https://www.benthamscience.com/journal/5/guideline-for-reviewers