Page 75 - 2024.2025 - 澳門理工大學研究生課程手冊 (電子書) (PDF)
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                 Code         Module                          Credits   Duration  Prerequisite(s)
                                                 Table II: Electives

                               Complete  1  of  the  following  3      45 hrs    ---
                               Modules

                 AIDD8123      Frontiers  in  Drug  Discovery  and  3   45 hrs   ---
                               Development

                               Societies across the world are looking to combat a greater range of human diseases but
                               at  the  same  time  contain  spiralling  healthcare  costs.  This,  together  with  global
                               competition  and  increasing  regulatory  standards,  puts  enormous  pressure  on  the
                               pharmaceutical  industry  to  discover  and  develop  a  greater  number  of  therapeutic
                               candidates  even  faster  and  cheaper  than  ever  before.  This  course  develops  the  key
                               themes  in  the  drug  discovery  and  development  pipeline  and  highlights  the  multi-
                               disciplinary nature of the research and development process. The course deals with
                               different phases in drug development, including target identification and validation, hit
                               discovery,  hit-to-lead  optimization,  pre-clinical  and  clinical  testing,  registration  and
                               commercialisation, regulatory and manufacturing considerations.
                 AIDD8124      Chemobioinformatics            3        45 hrs    ---
                               Chemobioinformatics  brings  together  two  very  important  fields  in  pharmaceutical

                               sciences that have been mostly seen as diverging from each other: chemoinformatics
                               and  bioinformatics.  The  course  provides  introduction  to  the  area  of
                               chemobioinformatics in relation to drugs, omics, chemical biology, protein function, and
                               biomedicine, and includes databases, sequence analysis, proteins and their interactions,
                               chemical  descriptions  of  proteins  and  organic  compounds,  data  modeling,  QSAR
                               modeling, proteochemometrics modeling, drug discovery and development, and use of
                               chemobioinformatics software.


               Remarks:
               *In order to fulfill the graduation requirement, students must complete 30 credits, including 27 credits from
               the compulsory modules listed in Table I, 3 credits from the electives in Table II.





























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