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Gamma-secretase is an enzymatic complex critical to
amyloid formation and other important
pathophysiological processes. Non-specific
gamma-secretase inhibitors are not ideal for
intervention of familial Alzheimer s disease. Also
gamma-secretase cleaves a variety of substrates. But
different sites are cleaved even in a single
substrate and no consensus sequence for cleavage by
gamma-secretase is identified. We hypothesize that
consensus compositional sequence in components of
gamma-secretase and its substrates should exist
during gamma-secretase regulation and specific
gammasecretase inhibitor based on such consensus
sequence may act as a therapeutic intervention for
familial Alzheimer s disease. There are two stages in
our research. First, We find the candidates by the
methods of bioinformatics. Then, we use the
traditional biological methods to verify the critical
role of the candidates including the protein
purification, recognition, and functional domain
interaction. The book can serve as reference for
computational biology-oriented professionals in
advanced research development.
amyloid formation and other important
pathophysiological processes. Non-specific
gamma-secretase inhibitors are not ideal for
intervention of familial Alzheimer s disease. Also
gamma-secretase cleaves a variety of substrates. But
different sites are cleaved even in a single
substrate and no consensus sequence for cleavage by
gamma-secretase is identified. We hypothesize that
consensus compositional sequence in components of
gamma-secretase and its substrates should exist
during gamma-secretase regulation and specific
gammasecretase inhibitor based on such consensus
sequence may act as a therapeutic intervention for
familial Alzheimer s disease. There are two stages in
our research. First, We find the candidates by the
methods of bioinformatics. Then, we use the
traditional biological methods to verify the critical
role of the candidates including the protein
purification, recognition, and functional domain
interaction. The book can serve as reference for
computational biology-oriented professionals in
advanced research development.