Abstract
Given a simple weighted undirected graph G=(V,E,d) with d:E→ℝ +, the Molecular Distance Geometry Problem (MDGP) consists in finding an embedding x:V→ℝ 3 such that ∥x u -x v ∥=d uv for each {u,v} E. We show that under a few assumptions usually satisfied in proteins, the MDGP can be formulated as a search in a discrete space. We call this MDGP subclass the Discretizable MDGP (DMDGP). We show that the DMDGP is NP-hard and we propose a solution algorithm called Branch-and-Prune (BP). The BP algorithm performs remarkably well in practice in terms of speed and solution accuracy, and can be easily modified to find all incongruent solutions to a given DMDGP instance. We show computational results on several artificial and real-life instances.
| Original language | English |
|---|---|
| Pages (from-to) | 115-146 |
| Number of pages | 32 |
| Journal | Computational Optimization and Applications |
| Volume | 52 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 May 2012 |
Keywords
- Branch-and-prune
- Distance geometry
- Molecular conformation
- NMR
- Protein
Fingerprint
Dive into the research topics of 'The discretizable molecular distance geometry problem'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver