Proteins are large molecules consisting of a linear sequence of amino acids. Protein
performs biological functions with specific 3D structures. The main factors that drive proteins to
form these structures are constraint between residues. These constraints usually lead to important
inter-residue relationships, including short-range inter-residue contacts and long-range interresidue
distances. Thus, a highly accurate prediction of inter-residue contact and distance
information is of great significance for protein tertiary structure computations. Some methods have
been proposed for inter-residue contact prediction, most of which focus on contact map prediction
and some reviews have summarized the progresses. However, inter-residue distance prediction is
found to provide better guidance for protein structure prediction than contact map prediction in
recent years. The methods for inter-residue distance prediction can be roughly divided into two
types according to the consideration of distance value: one is based on multi-classification with
discrete value and the other is based on regression with continuous value. Here, we summarize
these algorithms and show that they have obtained good results. Compared to contact map
prediction, distance map prediction is in its infancy. There is a lot to do in the future including
improving distance map prediction precision and incorporating them into residue-residue distanceguided
ab initio protein folding.
1P057 Properties of Residue Contact Occurrence in Denatured Proteins Calculated with the Potential from the Interresidue Average Distances(1. Protein structure and dynamics (I),Poster Session,Abstract,Meeting Program of EABS & BSJ 2006)