Publication Name	World Journal of Experimental Medicine
Manuscript ID	96042
Country	Bulgaria

Received	2024-04-25 09:14
Peer-Review Started	2024-04-25 09:14
To Make the First Decision
Return for Revision	2024-07-25 07:43
Revised	2024-08-06 16:49
Second Decision	2024-08-12 05:15
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-08-12 09:19
Articles in Press	2024-08-12 09:19
Publication Fee Transferred
Edit the Manuscript by Language Editor	2024-08-19 03:44
Typeset the Manuscript	2024-08-22 02:58
Publish the Manuscript Online	2024-08-29 06:31

ISSN	2220-315x (online)
Open Access	This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
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Category	Research & Experimental Medicine
Manuscript Type	Opinion Review
Article Title	Artificial intelligence as a tool in drug discovery and development
Manuscript Source	Invited Manuscript
All Author List	Maria Kokudeva, Mincho Vichev, Emilia Naseva, Dimitrina Georgieva Miteva and Tsvetelina Velikova
ORCID	Author(s) ORCID Number Maria Kokudeva http://orcid.org/0009-0001-2698-8593 Mincho Vichev http://orcid.org/0009-0002-7926-1192 Emilia Naseva http://orcid.org/0000-0002-1282-8441
Funding Agency and Grant Number	Funding Agency Grant Number the European Union-NextGenerationEU, through the National Recovery and Resilience Plan of the Republic of Bulgaria No. BG-RRP-2.004-0008
Corresponding Author	Maria Kokudeva, PharmD, PhD, Research Assistant, Department of Pharmacology and Toxicology, Faculty of Pharmacy, Medical University of Sofia, ul. Dunav 2, Sofia 1000, Bulgaria. kokudeva.mariya@gmail.com
Key Words	Artificial intelligence; Drug discovery; Drug development; Decision-making; AI-driven medicine; Healthcare; Public health
Core Tip	Embracing artificial intelligence (AI) expedites drug discovery and development by streamlining computational chemistry, molecular modeling, and data mining. Leveraging AI-driven algorithms enhances the accuracy and efficiency of identifying potential drug candidates and predicting their pharmacological properties. Integrating machine learning and deep learning frameworks into pharmaceutical research optimizes decision-making, accelerates drug design cycles, and ultimately advances novel therapies for various diseases.
Publish Date	2024-08-29 06:31
Citation	<p>Kokudeva M, Vichev M, Naseva E, Miteva DG, Velikova T. Artificial intelligence as a tool in drug discovery and development. <i>World J Exp Med</i> 2024; 14(3): 96042</p>
URL	https://www.wjgnet.com/2220-315x/full/v14/i3/96042.htm
DOI	https://dx.doi.org/10.5493/wjem.v14.i3.96042

Full Article (PDF)	WJEM-14-96042-with-cover.pdf
Manuscript File	96042_Auto_Edited_081845.docx
Answering Reviewers	96042-answering-reviewers.pdf
Audio Core Tip	96042-audio.m4a
Conflict-of-Interest Disclosure Form	96042-conflict-of-interest-statement.pdf
Copyright License Agreement	96042-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	96042-foundation-statement.pdf
Non-Native Speakers of English Editing Certificate	96042-non-native-speakers.pdf
Peer-review Report	96042-peer-reviews.pdf
Scientific Misconduct Check	96042-scientific-misconduct-check.png
Scientific Editor Work List	96042-scientific-editor-work-list.pdf
CrossCheck Report	96042-crosscheck-report.pdf
CrossCheck Report	96042-crosscheck-report.png