A new method to detect related function among proteins independent of sequence and fold homology.
By Stefan Schmitt, Daniel Kuhn, Gerhard Klebe. Journal of Molecular Biology, 2002
425 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/7d710d8cd32f1472c481988e74daebac796c0ba3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Molecular Biology
- Janet M. Thornton
- Roman A. Laskowski
- James D. Watson
- Dusanka Janezic
- Janez Konc
- Juyong Lee
- Bernard R. Brooks
- Yang Zhang
Citations in the corpus
- Global organization of a binding site network gives insight into evolution and structure-function relationships of proteins (2017, background): “A functional group is characterized with 5 groups based on its physicochemical property: hydrogen bond donor, acceptor, mixed donor/acceptor, aromatic, and aliphatic 64 .”
- An improved branch and bound algorithm for the maximum clique problem (2007, methodology): “Also, these algorithms are used for comparing protein structures, to provide the information about protein function [3] and also the information about possible interactions between proteins [4, 5].”
- Predicting protein function from sequence and structural data. (2005, background): “It represents residues as pseudo-centres [27] of a given physio-chemical property and uses geometrical hashing to match binding sites according to these physiochemical properties rather than amino acid identities.”