Application of Stochastic Proximity Embedding to Distance Geometry Problems
Kashima Hiroyuki, Shinji Doi, Sadatoshi Kumagai · 2006 SICE-ICASE International Joint Conference · 2006
We extend the stochastic proximity embedding (SPE) method which was proposed as a method of data-mining, and apply it to distance geometry problems. Distance geometry problems are the problem that we calculate the coordinates of atoms from the distance data between atoms. We also propose an improvement of SPE and demonstrate its effectiveness in determining protein structures