Parallel protein structure determination from uncertain data

Cheng Che Chen, Jaswinder Pal Singh, William B. Poland, Russ B. Altman

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

A probabilistic algorithm, PROTEAN, can incorporate multiple sources of uncertain data to estimate the 3-D structure of molecules and also predict a measure of the uncertainty in the estimated structure. Here, a parallel version of the model is presented which demonstrate good speedups on a 32-processor Stanford DASH and the multiprocessor, Silicon Graphics Challenge. An extension to the serial algorithm is also proposed, which enables it to handle a wider class of data. The potential for parallelization of the extended algorithm is discussed.

Original languageEnglish (US)
Pages (from-to)570-579
Number of pages10
JournalProceedings of the ACM/IEEE Supercomputing Conference
DOIs
StatePublished - Jan 1 1994
EventProceedings of the 1994 Supercomputing Conference - Washington, DC, USA
Duration: Nov 14 1994Nov 18 1994

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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