Drug Discovery Course

What will I learn?
Notlolla liphiri tsa tšenolo ea lithethefatsi ka thupelo ea rona e pharaletseng e etselitsoeng litsebi tsa Mahlale a Biology. Kena ka hare ho k'hemistri ea meriana, u hlahlobe kemollo ea lik'hemik'hale le likamano tsa sebopeho-mosebetsi. Tseba tšebetso ea tšenolo ea lithethefatsi, ho tloha ho khetholla sepheo ho isa ho ntlafatsa etella pele. Ntlafatsa litsebo tsa hau ka mekhoa ea tlhahlobo ea data, ho kenyeletsoa lits'ebetso tsa ho ithuta ka mochini. Fumana tsebo ea lisebelisoa tsa bioinformatics le moralo oa lithethefatsi tsa in silico, o shebaneng le ponelo-pele ea ADMET le matla a limolek'hule. Phahamisa boiphihlelo ba hau ba pharmacology le toxicology, u netefatse kutloisiso e matla ea pharmacokinetics le pharmacodynamics. Ikopanye le rona ho fetola mosebetsi oa hau ka lintlha tse sebetsang, tsa boleng bo holimo.
Elevify advantages
Develop skills
- Tseba kemollo ea lik'hemik'hale bakeng sa popo ea lithethefatsi e ncha.
- Hlahloba SAR bakeng sa nts'etsopele e sebetsang ea motsoako.
- Ntlafatsa metsoako e etellang pele bakeng sa katleho e ntlafalitsoeng ea lithethefatsi.
- Sebelisa bioinformatics bakeng sa mohlala o nepahetseng oa protheine.
- Sebelisa ho ithuta ka mochini ho nolofatsa tšenolo ea lithethefatsi.
Suggested summary
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