16 – 19 November 2022, Jeddah, Kingdom of Saudi Arabia – Dates revised
The ICGEB aims at strengthening the research capability of its Members through a comprehensive training programme and approach to promoting biotechnology internationally. The active participation of ICGEB Member States nationals in the ICGEB Meetings and Courses is therefore highly encouraged. For more information on the terms of participation and funding opportunities for this event please access the meeting website or contact the local organisers directly.
Nabil Miled (Faculty of Science, University of Jeddah, Kingdom of Saudi Arabia)
In collaboration with:
Deadline for receipt of applications:
30 May 2022 – Deadline extended
CALL FOR APPLICATIONS NOW OPEN
- Applicants must register on the ICGEB Service Gateway (ISG) to obtain access to the online submission platform.
- Data entered for registration to the ISG portal (name, surname, gender, date of birth, nationality and E-mail address) will automatically be included in the applicant’s request to attend the event – “Personal data” section, and will not be editable.
- For any problems with ISG access, please contact the ICGEB IT support service at [email protected]
Despite tremendous progress of therapies, cancer treatment is still unsatisfactory and deaths rates are inclining. This event will highlight the involvement of critical mutations in protein structural and functional abnormalities leading to cancer disease. Hands-on training will help participants gain knowledge on rational drug design.
Introduction to cancers and cancer drug targets identification, Sequence alignment and structure prediction using heuristic Homology Modeling techniques to understand the physical and chemical properties of proteins, Structural and functional impact of mutations in cancer protein targets, and use of computational predictions, Rational drug designing approach to understand the interacting residues and the active cleft on the protein and the ligand, Drug design and Combinatory chemistry and cancer drug development, Use of Machine Learning and other AI methods in cancer drug development.
Researchers involved in the field of cancer research. Post-graduate Students are welcome to attend. A Poster session will be organized.
Participants are expected to cover their own travel and living costs. A limited number of grants, covering accommodation and local hospitality for the duration of the event are available for a selected number of nationals of ICGEB member states.
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