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MDPI's Journal Cluster of Pharmaceutical Science Webinar | Drug Design in the AI Era

Part of the MDPI Journal Cluster Webinar series
4 May 2026, 09:00 AM (EDT)

Registration Deadline
4 May 2026

Rational Drug Design, Artificial Intelligence, Computational Chemistry, Chemoinformatics, Molecular Modeling
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Welcome from the Chairs

MDPI's Journal Cluster of Pharmaceutical Science Webinar

Drug Design in the AI Era

It is our pleasure to open this webinar on “Drug Design in the Artificial Intelligence Era.” We are living through a transformative period in pharmaceutical science, where artificial intelligence and advanced computational methods are reshaping how we identify targets, design molecules, and bring new therapies closer to patients.

Today we bring together two experts who are contributing to this rapidly evolving landscape. Their perspectives will highlight both the opportunities and the challenges that lie ahead as we integrate AI more deeply into drug discovery.

Thank you all for being here. I hope this webinar inspires insightful discussion and new scientific connections.

______________

Date: 4 May 2026

Time: 9:00 am EDT | 3:00 pm CEST

Webinar ID: 878 8692 5680

Event Chairs

Computational Biophysical Chemistry at the Walter Mors Natural Products Research Institute Website

Introduction
Bio
Dr. Santos-filho is a professor of Computational Biophysical Chemistry at the Walter Mors Natural Products Research Institute, Health Sciences Center of the Federal University of Rio de Janeiro, Brazil. Before assuming his (tenured) position as a university professor, he worked as: chemist in Brazilian chemical, and aviation and aerospace component manufacturing companies; postdoctoral scientist at the Institute of Chemistry of the Federal University of Rio de Janeiro, Brazil; Research Specialist at The Chem21, Inc., USA; postdoctoral scientist at the University of Illinois at Chicago College of Pharmacy, USA; Research Associate at University of British Columbia Department of Medicine, Canada; senior scientist at the Institute of Drug Technology (Farmanguinhos)/Fiocruz; and visiting scientist at the Inflammation Laboratory of IOC/Fiocruz, Brazil. He is member of the Brazilian Physical Society and of the American Chemical Society. Since 2016, he has served as the editorial board member of the international peer-reviewed journals related to chemical and pharmaceutical sciences: Pharmaceuticals, Scientia Pharmaceutica (owned by the Austrian Pharmaceutical Society), and since 2022 he has served as editor-in-chief of the In Silico Approaches in Drug Discovery section of the journal Drugs and Drug Candidates. His main scientific interests are: Medicinal Chemistry; Structural Biology; Immunology; Virology; Organic Reaction Mechanisms; and Enzyme Catalysis.

Department of Chemistry, University of South Florida Website

Introduction
Bio
Dr. Baker is a Distinguished University Professor in USF’s Department of Chemistry where his research group is interested in the discovery and characterization of novel chemodiversity from natural products. He has promoted the use of natural product libraries for the development of screening and drug discovery platforms in collaboration with biomedical scientists around the world. These studies have led to important discoveries in cancer, such as palmerolides and palmadorins; infectious diseases, such as the anti-biofilm diterpene darwinolide and the friomaramide antimalarial peptides; and the myricanol family of natural products active in neurodegenerative therapeutic areas. Current efforts are focused on advancing the biomedical potential of palmerolides, including heterologous expression of the biosynthetic gene cluster that was discovered in a bacterium found in the microbiome of the host ascidian from which palmerolides were discovered.

Keynote Speakers

DIFACQUIM Research Group, Department of Pharmacy, National Autonomous University of Mexico (UNAM)

Introduction
Talk
Biologically Relevant Chemical Space: From Characterization to Predictive Modeling
Bio
Dr. Medina-Franco holds a BSc in Chemistry (1998, National Autonomous University of Mexico (UNAM), a MSc and Ph.D. degree (2005, both from the UNAM). In 2005, Dr. Medina Franco joined the University of Arizona as a postdoctoral fellow under the supervision of Prof. Gerald Maggiora and he was named Assistant Member at the Torrey Pines Institute for Molecular Studies in Florida in August 2007. In 2013, he conducted research at the Mayo Clinic. In 2014 he joined UNAM and now is Full Time Research Professor. He leads the DIFACQUIM research group at UNAM. The research focus is on chemoinformatics, molecular modeling and artificial intelligence with applications on epigenetic targets and natural products. Dr. Medina-Franco is a member of the National Researcher System, National Council of Science and Technology in Mexico with the highest level. In 2017 he was named Fellow of the Royal Society of Chemistry (UK). He has been an Invited Professor at Brazil, Canada, Colombia, Germany, Japan, and France. Dr. Medina Franco has published over 340 peer-reviewed papers, 25 book chapters and issued one international patent. He has edited four books. He is Associate Editor of the Journal of Computer-Aided Molecular Design and serves as Editorial Board Member of several journals including Drug Discovery Today, Chemical Sciences, Journal of Cheminformatics, Journal of Chemical Information and Modeling, and Expert Opinion on Drug Discovery. Since 2007 he has been PI in several research grants. Dr. Medina-Franco has supervised the research of 11 postdoctoral fellows, 23 graduate, and 30 undergraduate students.

UNC Eshelman School of Pharmacy, University of North Carolina Website

Introduction
Talk
Knowledge based and AI-accelerated approaches to drug discovery and repurposing
Bio
PhD is K.H. Lee Distinguished Professor at the UNC Eshelman School of Pharmacy, and the Research Fellow at the Renaissance Computing Institute (RENCI), UNC-Chapel Hill. He is also a member of the Structural Genomics Consortium (SGC) at UNC. Prof. Tropsha obtained his PhD in Chemical Enzymology in 1986 from Moscow State University, Russia. His main research interests are in the area of Data Science with applications to drug development, chemical safety predictions including computational and combinatorial NAMs methods, and materials science. He has authored or co-authored over 350 peer-reviewed research papers, reviews, and book chapters, and his studies have been supported by all major federal funding agencies in the US. He is an elected Fellow of the American Institute for Medical and Biological Engineering (AIMBE) and a consultant to several technology and drug discovery companies.

Registration

This is a FREE webinar. After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.

Certificates of attendance will be delivered to those who attend the live webinar.

Can’t attend? Register anyway and we’ll let you know when the recording is available to watch.

Program

Speaker/Presentation

Time in CEST

Introduction

3:00 - 3:10 pm

Prof. Dr. Jose L. Medina-Franco

Biologically Relevant Chemical Space: From Characterization to Predictive Modeling

3:10 - 3:30 pm

Prof. Dr. Alexander Tropsha)

Knowledge Based and AI-Accelerated Approaches to Drug Discovery and Repurposing

3:30 - 3:50 pm

Q&A

3:50 - 4:05 pm

Closing of Webinar

4:05 - 4:10 pm

Special Issues

Computer-Aided Drug Design and Molecular SynthesisComputer-Aided Drug Design and Molecular Synthesis

A special issue of Scientia Pharmaceutica (ISSN 2218-0532).

Edited by: Prof. Dr. Osvaldo Andrade Santos-Filho, Dr. Arthur Eugen Kummerle

Deadline for manuscript submissions: 31 May 2026

Marine Drug Discovery Powered by AI

A special issue of Marine Drugs (ISSN 1660-3397). This special issue belongs to the section "Marine Pharmacology".

Edited by: Dr. Yin-Chu Wang

Deadline for manuscript submissions: 30 June 2026

Advances in AI-Driven Drug Delivery Systems

A special issue of Pharmaceutics (ISSN 1999-4923). This special issue belongs to the section "Drug Delivery and Controlled Release".

Edited by: Dr. Junhuang Jiang, Prof. Dr. Xin Pan

Deadline for manuscript submissions: 30 June 202

Computational Methods in Drug Development

Edited by: Prof. Dr. Yunjie Zhao

A special issue of Pharmaceuticals (ISSN 1424-8247). This special issue belongs to the section "Medicinal Chemistry".

Deadline for manuscript submissions: 26 May 2026

AI Use in Pharmacy and Pharmacy Education

A special issue of Pharmacy (ISSN 2226-4787). This special issue belongs to the section "Pharmacy Education and Student/Practitioner Training".

Edited by: Dr. Bernadette Cornelison, Dr. Christopher J. Edwards

Deadline for manuscript submissions: 31 July 2026

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