International Conference on

Biomolecular Interactions and Omics Technologies (ICBIOT-26)

Conference Date

1st Dec - 2nd Dec 2026

Conference Venue

Budapest, Hungary

Conference Mode

Hybrid Conference
Proudly organized by:- Science Leagues

"Join global experts in Biomolecular Interactions and Omics Technologies"

Registration Options

View all registration categories and choose the best fit.

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Proteomics and Interactomics

This track focuses on the latest methodologies and technologies in proteomics and interactomics, emphasizing their applications in understanding complex biological systems. Researchers are invited to present studies that elucidate protein interactions and their implications in cellular functions.

Track 02

Structural Biology and Molecular Mechanisms

This session explores the structural basis of biomolecular interactions and their roles in cellular mechanisms. Presentations will highlight cutting-edge techniques in structural biology that reveal insights into molecular dynamics and function.

Track 03

High-Throughput Analysis in Omics Research

This track addresses the integration of high-throughput technologies in genomics, transcriptomics, and metabolomics. Participants will discuss innovative approaches that enhance data acquisition and analysis for comprehensive omics studies.

Track 04

Systems Biology Approaches to Biomolecular Interactions

This session emphasizes systems biology methodologies to model and analyze biomolecular interactions within cellular networks. Researchers are encouraged to present integrative studies that connect various omics layers to unravel biological complexity.

Track 05

Functional Genomics and Gene Regulation

This track focuses on functional genomics techniques that elucidate gene regulation mechanisms and their impact on cellular behavior. Presentations will cover experimental and computational approaches to understanding gene function in various biological contexts.

Track 06

Multi-Omics Integration for Comprehensive Insights

This session highlights the integration of multi-omics data to provide a holistic view of biological systems. Researchers will share methodologies and case studies that demonstrate the power of combining genomics, proteomics, and metabolomics.

Track 07

Metabolomics and Cellular Metabolism

This track delves into the role of metabolomics in understanding cellular metabolism and its implications for health and disease. Presentations will focus on novel analytical techniques and their applications in metabolic profiling.

Track 08

Innovations in Genomic Technologies

This session showcases the latest innovations in genomic technologies, including CRISPR, next-generation sequencing, and single-cell genomics. Researchers are invited to discuss their applications in functional studies and therapeutic developments.

Track 09

Biomolecular Interactions in Disease Mechanisms

This track investigates the role of biomolecular interactions in the pathogenesis of various diseases. Presentations will highlight how understanding these interactions can lead to novel therapeutic strategies.

Track 10

Emerging Trends in Transcriptomics

This session focuses on emerging trends and technologies in transcriptomics, including RNA sequencing and expression profiling. Researchers are encouraged to share insights into how these advancements are reshaping our understanding of gene expression.

Track 11

Computational Approaches in Omics Data Analysis

This track emphasizes computational methodologies for analyzing and interpreting omics data. Presentations will cover bioinformatics tools and algorithms that facilitate the integration and visualization of complex biological datasets.