Hybrid Conferencee

International Conference on Computational Approaches in Medicinal Chemistry (ICCAIMC - 26)

25th - 26th June 2026 | Milan, Italy
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Milan. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Milan event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Milan conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Milan, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Milan."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCAIMC aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Medicinal Chemistry, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Computational methods in drug design
02
Machine learning in medicinal chemistry
03
Innovations in molecular modeling techniques
04
Data mining for drug discovery
05
Ethical considerations in computational chemistry
06
Role of AI in medicinal chemistry
07
Quality assurance in computational approaches
08
Collaborative research in computational chemistry
09
Long-term outcomes of computational drug design
10
Public health implications of computational methods
11
Education and training in computational chemistry
12
Impact of big data on medicinal chemistry
13
Case studies in computational drug discovery
14
Future directions in computational approaches
15
Integrative approaches to medicinal chemistry
16
Patient-centered drug design methodologies
17
Emerging technologies in computational chemistry
18
Trends in computational chemistry education
19
Innovative solutions for drug design challenges
20
Advancements in virtual screening techniques