Drug Discovery Course

Preview certificate

What will I learn?

Vhurai zvakavanzika zvekutsvaga mishonga nechirongwa chedu chakadzama chakagadzirirwa nyanzvi dzeBiological Sciences. Nyururirai mukhemistri yemishonga, muchiongorora kugadzirwa kwemakemikari uye hukama huri pakati pemamiriro emakemikari nemabasa awo. Batsirai maitiro ekutsvaga mishonga, kubva pakuziva chinangwa kusvika pakuvandudza mishonga inotungamira. Simbisai hunyanzvi hwenyu nemaitiro ekuongorora data, kusanganisira mashandisirwo emuchina wekudzidza. Wanai hunyanzvi mumidziyo ye bioinformatics uye mukugadzirwa kwemishonga ye in silico, muchitarisa fungidziro yeADMET uye masimba emamorekuru. Simudzai hunyanzvi hwenyu mufarmakoloji netoksikoloji, muchiva nechokwadi chekunzwisisa kwakasimba kwe pharmacokinetics ne pharmacodynamics. Unganai nesu kuti mushandure basa renyu neruzivo runoshanda, rwemhando yepamusoro.

Develop skills

Enhance your development of the practical skills listed below

Batsirai kugadzirwa kwemakemikari kuitira kugadzirwa kwemishonga mitsva.

Ongororai SAR kuitira kuvandudza makomponi anoshanda.

Vandudzai makomponi anotungamira kuitira kuwedzera kushanda kwemishonga.

Shandisai bioinformatics kuitira kuratidza mapuroteni nemazvo.

Shandisai muchina wekudzidza kufambisa maitiro ekutsvaga mishonga.

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 will 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.