ICBME 2023

It is a great pleasure to introduce the 5th International Conference on Biosciences and Medical Engineering 2023 (ICBME2023) & the 2nd International Conference on Innovative Agricultural Technology (ICIAT) 2023, jointly organized by the Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia (UTM) & the Faculty of Agricultural Technology, Universitas Negeri Udayana. 

The joint conference highlights significant research highlighting advancements in Nanotechnology research in Biosciences & Medical engineering, and agricultural technology, particularly sustainable agri-food systems.

The 2023 keynote and plenary shall deliver the current topics of interest for developing science and technology, apart from as a platform for researchers from all over to meet and carry out discussions and initiate networking.

For more information & registration please click: https://csnano.utm.my/icbme-iciat-2023/

The conference will be held at Four Points by Sheraton, Ungasan Bali

ICBME 2023 PRE-CONFERENCE WORKSHOP

Name : WHOLE GENOME SEQUENCEING & PROTEIN MODELLING

Date : 29 th August 2023
Venue : Bali, Indonesia
Fee : MYR 399.00
INR 1,290,000

Instructor(s) : Dr. Nurul Hidayah Binti Samsulrizal
Dr. Khairul Bariyyah Binti Abd Halim

Organiser(s) : RUBIC, IIUM
Proinsilico Solutions

Registration : https://forms.gle/gcZQPQHqy32fRx5PA

The Next Generation Sequencing (NGS) technology has transformed
genomics by enabling fast and cost-effective sequencing of entire
genomes. This session introduces NGS and explores its application in
genome annotation, which involves identifying and characterizing
functional elements within a genome.

Genome annotation is crucial for understanding an organism’s biology
and identifying potential therapeutic targets. It involves identifying coding
sections, non-coding RNAs, regulatory regions, and other functional
elements. Assigning names and roles to these elements provides insights
into gene expression, regulation, and their impact on biological processes.
NGS technology facilitates genome annotation by generating vast
amounts of data quickly and inexpensively. It allows high-throughput
sequencing of entire genomes, making it ideal for large-scale annotation
projects.

The session also covers the Protein Modelling Workshop with Swiss-
Model, a training program focused on protein structure prediction using
Swiss-Model software. Protein modelling plays a vital role in
understanding protein structure and function, enabling insights into
biological processes and aiding drug discovery.

Swiss-Model is a widely used web-based tool with user-friendly features
and advanced algorithms for accurate protein structure prediction based
on homology modelling. It uses the principle that proteins with similar
sequences tend to have similar structures and functions. Researchers can
input a protein sequence into Swiss-Model to obtain a predicted 3D
structure, providing insights into function and aiding drug discovery.
The workshop offers hands-on experience with Swiss-Model, guiding
participants on navigating the interface, inputting protein sequences, and
interpreting results. Proficiency in protein modelling enhances
understanding of the structure-function relationship and its applications in research.

In summary, NGS and genome annotation provide powerful tools for
understanding an organism’s biology and identifying therapeutic targets.
The session highlights the use of NGS in genome annotation, enabling
comprehensive insights into functional elements. The Protein Modelling Workshop with Swiss-Model equips participants with skills in accurately predicting protein structures. Utilizing Swiss-Model enhances understanding of protein function and supports drug discovery and biological research advancements.

RUBIC is a research unit focusing on Bioinformatics and Computational biology techniques and integration of both experimental and theoretical studies, we also conduct and organize training, seminar, and meeting to share and disseminate knowledge transfer to the wider research community inside and outside IIUM. This will also become a platform to foster interactions and inter-department, inter-kulliyyah within IIUM as well as external research collaborations. This research group aims to emerge as a center for Bioinformatics and Computational Biology that involves scientific research breakthroughs in line with IIUM vision and mission according to the national key priority area.

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