protein domain prediction
Bioinformatics has become an important technique applied in many aspects of
biology, such as genetics, genomics, system biology, and structural biology. It
plays a pivotal role in the analysis of gene and protein expression and
regulation. One goal bioinformatics pursue is protein structure prediction,
which is highly important in biotechnology and drug design. In structural
biology, bioinformatics finds wide applications in the simulation and modeling
of DNA, RNA, proteins as well as biomolecular interactions.
(National Marrow Donor Program) (National Marrow Donor Program)
Protein sequence alignment
Comparison of protein amino acid sequences within a species or between
different species can reveal similarities between protein function, and relations
between species. Multiple sequence alignments tools, such as Clustal W,
Clustal X, T-Coffee, MAFFT, are widely used. These tools often aid in
identifying conserved region that can be used in conjunction with structural and
mechanistic information.
Protein structure prediction
Protein structure prediction is another set of techniques in bioinformatics that
aim to predict the folding, local secondary and tertiary structure of proteins
based merely on their amino acid sequences. The best modern methods of
secondary structure prediction in proteins reach about 80% accuracy.
PSIPRED and JPRED are two of the most popular programs based on neural
networks for protein secondary structure prediction, another notable program
is GOR method, which is more successful in predicting alpha helices than beta
sheets. Other commonly used software tools in protein secondary structure
prediction and transmembrane helix and signal peptide prediction includes:
SPIDER2 (the most comprehensive and accurate prediction tool to date), s2D,
Meta-PP, HMMTOP, SignalP, etc. We provide protein domain structure
prediction services, including secondary structure prediction, tertiary structure
determination, and binding site analysis of proteins using many bioinformatics
tools.
(University College London) (University College London)
Creative Biostructure aims to incorporate computational approaches into our
