Facing the explosive growth of biological sequence data, such as those of protein/peptide
and DNA/RNA, generated in the post-genomic age, many bioinformatical and mathematical approaches
as well as physicochemical concepts have been introduced to timely derive useful informations
from these biological sequences, in order to stimulate the development of medical science and
drug design. Meanwhile, because of the rapid penetrations from these disciplines, medicinal chemistry
is currently undergoing an unprecedented revolution. In this minireview, we are to summarize the progresses
by focusing on the following six aspects. (1) Use the pseudo amino acid composition or
PseAAC to predict various attributes of protein/peptide sequences that are useful for drug development. (2) Use pseudo
oligonucleotide composition or PseKNC to do the same for DNA/RNA sequences. (3) Introduce the multi-label approach
to study those systems where the constituent elements bear multiple characters and functions. (4) Utilize the graphical
rules and “wenxiang” diagrams to analyze complicated biomedical systems. (5) Recent development in identifying the interactions
of drugs with its various types of target proteins in cellular networking. (6) Distorted key theory and its application
in developing peptide drugs.
Keywords: PseAAC, PseKNC, Multi-label systems, Graphical rules, Wenxiang diagram, Drug and target-protein interaction,
Distorted key theory and peptide drugs.
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