Skip to search formSkip to main contentSkip to account menu

PROSITE

PROSITE is a protein database. It consists of entries describing the protein families, domains and functional sites as well as amino acid patterns… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Motivation: Prediction of the interaction affinity between proteins and compounds is a major challenge in the drug discovery… 
2004
2004
Automated methods of machine learning may prove to be useful in discovering biologically meaningful information hidden in the… 
2003
2003
A data warehouse can be described as a collection of materialised views over distributed, heterogeneous, and autonomous sources… 
Highly Cited
2001
Highly Cited
2001
This paper describes the Transparent Access to Multiple Bioinformatics Information Sources project, known as TAMBIS, in which a… 
Highly Cited
2001
Highly Cited
2001
In this paper we propose new techniques to extract features from protein sequences. We then use the features as inputs for a… 
2001
2001
We describe algorithms for pattern-matching and pattern-learning in TOPS diagrams (formal descriptions of protein topologies… 
Highly Cited
1998
Highly Cited
1998
We discuss the problem of algorithmic discovery of patterns common to sets of sequences and its applications to computational…