Abstract
Knowledge-based modelling and molecular dynamics were
used in
designing antibodies and enzymes for which the sequences
and the
known closely or distantly related crystal structures were
available.
The hapten binding to structural models of
anti-2-phenyloxazolone antibodies in a solvent
environment was
studied by molecular dynamics simulations. The comparison
of
modelled antibody-hapten complexes of the idiotype and the
high-affinity variant suggested plausible explanations
for the
experimentally observed increase in affinity of the
variant.
A structural model of the lignin peroxidase LIII from
Phlebia
radiata based on a distantly related crystal structure of
cytochrome c peroxidase was constructed by using newly
developed knowledge-based methods. Comparison of the
structural
model with a closely related crystal structure of the
lignin
peroxidase from Phanerochaete chrysosporium showed that
the
core of the model was predicted rather accurately.
However, the
last 30 amino acids at the C-terminus were modelled with
less
certainty owing to a lack of biochemical information about
disulfide bridge formation.
Cellulose-binding domains of Trichoderma reesei
cellulases were
homology modelled in order to predict structural
correlations
that would effect their binding to crystalline cellulose.
Comparison of their sequences with sequences of other
fungal
cellulases predicted an additional disulfide bridge in
several
cellulose-binding domains. The three-dimensional
structures of
other fungal cellulose-binding domains can be expected to
be
similar to those of Trichoderma reesei.
Mutations that improved labelling of the anti-human
alpha-fetoprotein antibody were predicted on the basis of
a
structural model of the Fab-fragment of the
alpha-fetoprotein
antibody. The improved labelling efficiency of the lysine
enriched
anti-human alpha-fetoprotein antibody Fab-fragment was
found to
be promising for the development of a more sensitive
immunoassays.
Original language | English |
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Qualification | Doctor Degree |
Awarding Institution |
|
Award date | 20 Jun 1994 |
Place of Publication | Espoo |
Publisher | |
Print ISBNs | 951-38-4623-7 |
Publication status | Published - 1994 |
MoE publication type | G5 Doctoral dissertation (article) |
Keywords
- knowledge-based systems
- molecular models
- crystal structure
- antibodies
- enzymes
- cellulase
- proteins