English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Evolutionary-algorithm-based strategy for computer-assisted structure elucidation

Han, Y. Q., & Steinbeck, C. (2004). Evolutionary-algorithm-based strategy for computer-assisted structure elucidation. Journal of Chemical Information and Computer Sciences, 44(2), 489-498. doi:10.1021/ci034132y.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0012-A049-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-3744-D
Genre: Journal Article

Files

show Files
hide Files
:
BOL161.pdf (Publisher version), 0B
 
File Permalink:
-
Name:
BOL161.pdf
Description:
-
OA-Status:
Visibility:
Restricted (Max Planck Institute for Chemical Ecology, MJCO; )
MIME-Type / Checksum:
application/octet-stream
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Han, Y. Q.1, Author           
Steinbeck, C.1, Author           
Affiliations:
1Department of Bioorganic Chemistry, MPI for Chemical Ecology, Max Planck Society, ou_24028              

Content

show
hide
Free keywords: Automated structure elucidation C-13 nmr-spectra Genetic algorithms Information-system Organic-molecules Natural-products Design Search Spectroscopy Generation. Chemistry in Current Contents(R)/Physical, Chemical & Earth Sciences.
 Abstract: An evolutionary algorithm (EA) using a graph-based data structure to explore the molecular constitution space is presented. The EA implementation proves to be a promising alternative to deterministic approaches to the problem of computer-assisted struct

Details

show
hide
Language(s):
 Dates: 2004
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: BOL161
DOI: 10.1021/ci034132y
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Journal of Chemical Information and Computer Sciences
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Washington : American Chemical Society.
Pages: - Volume / Issue: 44 (2) Sequence Number: - Start / End Page: 489 - 498 Identifier: ISSN: 0095-2338
CoNE: https://pure.mpg.de/cone/journals/resource/111088195283830