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1st ApBioNet Student Council Symposium

The Asia-Pacific Bioinformatics Student Council Symposium (APBSCS-2025) is a student-led initiative held in conjunction with the APBioNet INCOB Conference. This vibrant, in-person event is dedicated to students and early-career researchers in bioinformatics and computational biology.

This inaugural event, held alongside the APBioNet-INCOB Conference, is more than just a meeting—it’s a bold step toward empowering early-career scientists, building regional connections, and spotlighting student-led innovation in bioinformatics and computational biology.

Built on the belief that students grow best when they learn from one another and from mentors who understand their journey, APBSCS offers a platform where ideas are exchanged, stories are shared, and collaborations are born.

Join Us at InCoB 2025 – Call for Participation

Dear Colleagues,

We are excited to announce the 24th International Conference on Bioinformatics (InCoB 2025), taking place from September 18–20, 2025, at the historic Bose Institute in Kolkata, India.

This year’s conference theme, “Bioinformatics-Driven Therapeutic Innovations: Microbiome and Beyond,” highlights the transformative role of bioinformatics in advancing healthcare and medicine.

InCoB 2025 will feature:

  • Inspiring keynote lectures

  • Oral and highlight presentations

  • Flash/Lightning talks

  • Poster sessions

  • Hands-on workshops and demos

  • APBioNET Annual General Meeting

This is a fantastic opportunity to present your work, engage with leading researchers, and expand your professional network.

We kindly ask for your support in spreading this Call for Participation within your professional networks.

We look forward to your participation at InCoB 2025!

Warm regards,
The InCoB 2025 Organizing Committee

APBioNETTalks Workshop: Unlock the Power of the Semantic Web with Wikidata!

Free, limited for 100 participants!

📅 Date: October 24, 2024
⏰ Time: 7 am UTC/12.30 noon IST/3 pm SGT
🎓 Speaker: Andra Waagmeester (Micelio BV)

Summary:
The Semantic Web (SW) has revolutionized the way data is linked and shared on the World Wide Web. However, harnessing the full potential of the SW can be challenging, requiring both technical skills and domain expertise. This workshop aims to bridge this gap by introducing Wikidata as a stepping stone to the Semantic Web. Wikidata, an extension of Wikipedia, offers a user-friendly platform that aligns well with the SW principles and can be utilized without extensive computer skills.

In this interactive workshop, participants will learn the fundamentals of making data suitable for the Semantic Web using Wikidata. The workshop will guide participants through the process of identifying the semantic model, normalizing data into RDF triples, and leveraging Wikidata’s features to enhance data interoperability. By the end of the workshop, participants will have a solid understanding of how to use Wikidata as a learning platform and entry point to the Semantic Web.

Register now: bit.ly/apbtalks-12

InSyB2024 : Call for Abstract Submission

8th International Symposium on Bioinformatics (InSyB 2024) : Call for Participation

We are delighted to invite you to participate in the 8th International Symposium on Bioinformatics ( InSyB 2024) on Nov 29,2024 at New Delhi, India.
InSyB 2024 is jointly organized by Asia Pacific Bioinformatics Network ( APBioNet) ,Bioinformatics Facility, Sri Venkateswara College, University of Delhi ; Department o Biophysics, University of Delhi South Campus & Department of Biotechnology, Bennett University ( The Times Group), Greater Noida.

Symposium Highlights

  • Keynote Talks
  • Invited Talks
  • Poster Presentations
  • “Meet the Experts”
  • Networking Opportunities

Date : Nov 29,2024
Venue : SP Jain Auditorium, University of Delhi South Campus
Deadline for Abstract Submission (Poster Sessions only) : Oct 15,2024

For Registration & further details, visit : https://insyb2024.my.canva.site/

We request you to disseminate this call for participation & Abstract submission within your network.

Organizing Team
Convenor(s)
*Prof. Latha Narayanan, Bioinformatics Centre, Sri Venkateswara College, University of Delhi & Executive Committee member, APBioNet
*Prof. Manish Kumar, Department of Biophysics, UDSC
Co-Convenors
*Prof. Manisha Goel, Department of Biophysics, UDSC
*Dr. Vandana Malhotra, Department of Biochemistry, Sri Venkateswara College
*Dr. Sarika Chaudhary, Department of Biotechnology, Bennett University ( The Times Group)

Finding Antimicrobial peptides in the global microbiome using machine learning

Speaker: 

Luis Pedro Coelho is a group leader at the Centre for Microbiome Research at the Queensland University of Technology. His research focuses on using very large scale datasets of the global microbiome to understand microbial ecology. His group is also known for developing high-quality tools, most notably SemiBin for metagenomics binning. Before moving to Australia, Luis got a PhD from Carnegie Mellon University in the (US), worked at the EMBL in Germany, and at Fudan University in China.

Abstract:

Antimicrobial peptides (AMPs) are small peptides (operationally defined as those up to 100 amino acids) which kill or inhibit microbes. AMPs are produced by organisms from all domains of life, including by bacteria (which use it to compete with each other). They are of interest for drug development as they are less likely to lead to resistance than traditional antibiotics. However, the vast majority of AMPs are unknown. We have developed a machine learning approach to predict AMPs from metagenomic data. We have applied this approach to the global microbiome and found nearly one million novel AMPs. We tested 100 in vitro and found that 79 had antimicrobial activity. Subsequently, we tested the top candidates in vivo in a mouse model of infection and found that they were effective in reducing bacterial load at a level comparable to polymyxin B a clinically used antibiotic. This work demonstrates the power of machine learning to discover novel bioactive molecules from the global microbiome.

LINK