Drug Discovery Course
What will I learn?
Bulatsela diphiri tsa boitumami jwa melemo ka thuto ya rona e e tletseng e e diretsweng batho ba ba itseng ka tsa Biological Sciences. Ithute thata ka medicinal chemistry, o sekaseke kemisi ya go tlhama le kamano ya popego le tiriso ya yone. Nna setswerere mo tsamaisong ya boitumami jwa melemo, go simolola ka go tlhaola se se lebeletsweng go ya go tokafatsa se se etelelang pele. Oketsa bokgoni jwa gago ka mekgwa ya go sekaseka data, go balelwa le tiriso ya machine learning. Nna le bokgoni mo didirisweng tsa bioinformatics le in silico drug design, o itebagantse le ADMET prediction le molecular dynamics. Godisa boitseanape jwa gago mo go tsa pharmacology le toxicology, o tlhomamisa gore o tlhaloganya pharmacokinetics le pharmacodynamics ka botlalo. Kopanela le rona go fetola tiro ya gago ka kitsiso e e mosola le e e tlotlegang.
Develop skills
Enhance the development of the practical skills listed below
Ithute go tlhama dikhemikale go tlhama melemo e meša.
Sekaseka SAR go tlhagisa dikomponi ka manontlhotlho.
Tokafatsa dikomponi tse di etelelang pele go oketsa maatla a melemo.
Dirisa bioinformatics go dira dipopego tsa diporoteine ka nepagamo.
Dirisa machine learning go fefosa boitumami jwa melemo.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You’ll be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.