Dear Researchers,

We are pleased to announce a call for articles for a special issue on "Revolutionizing Antimicrobial Drug Discovery: Harnessing AI for Compound Screening" in "Current Medicinal Chemistry". This special issue aims to gather cutting-edge research, innovative methodologies, and insightful perspectives on Drug discovery, AI-based screening systems, Computational methods, Antimicrobial efficacy, innovation, Therapeutic innovation, and Compound screening.

Scope of the Special Issue:

This special issue invites contributions that address, but are not limited to, the following topics:

Ø Deep Learning Approaches for Predicting Antimicrobial Activity

Ø Multi-Modal Data Integration in Compound Screening

Ø AI-Driven Exploration of Natural Product Libraries

Ø Explainable AI Models for Antimicrobial Compound Screening

Ø Personalized Antimicrobial Therapy Selection Using AI

Submission Guidelines:

Authors are invited to submit original research articles, review articles, and short communications related to the special issue's theme. All submissions will undergo rigorous peer review to ensure high-quality and impactful contributions.

For manuscript preparation and submission guidelines, please refer to https://www.eurekaselect.com/call-for-papers-detail/6094/specialissue.

Important Dates:

• Final Manuscript Submission Deadline: 23 October, 2024

Guest Editors:

• Dr. Debashis Dutta
• Dr. Rajesh Kumar Kesarwani
• Dr. Prashant Kumar
• Dr. Dheeraj Chitara

We look forward to receiving your contributions and to the successful publication of this special issue.