  SMISS is a novel web server for protein function prediction. Three different
predictors can be selected for different usage. It integrates different sources
to improve the protein function prediction accuracy, including the query
protein sequence, protein-protein interaction network, gene-gene interaction
network, and the rules mined from protein function associations. SMISS
automatically switch to ab initio protein function prediction based on the
query sequence when there is no homologs in the database. It takes fasta format
sequences as input, and several sequences can submit together without
influencing the computation speed too much. PHP and Perl are two primary
programming language used in the server. The CodeIgniter MVC PHP web framework
and Bootstrap front-end framework are used for building the server. It can be
used in different platforms in standard web browser, such as Windows, Mac OS X,
Linux, and iOS. No plugins are needed for our website. Availability:
http://tulip.rnet.missouri.edu/profunc/.
