1 resultado para INSECT HYDROCARBONS
em Digital Knowledge Repository of Central Drug Research Institute
Filtro por publicador
- Repository Napier (1)
- Aberdeen University (3)
- Academic Archive On-line (Stockholm University; Sweden) (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (4)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (12)
- ARCA - Repositório Institucional da FIOCRUZ (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (12)
- Archive of European Integration (20)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (1)
- Aston University Research Archive (10)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (22)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (12)
- Biodiversity Heritage Library, United States (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (58)
- Boston University Digital Common (1)
- Brock University, Canada (13)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (9)
- CentAUR: Central Archive University of Reading - UK (62)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (55)
- Cochin University of Science & Technology (CUSAT), India (9)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- Dalarna University College Electronic Archive (1)
- Digital Commons at Florida International University (6)
- Digital Knowledge Repository of Central Drug Research Institute (1)
- DigitalCommons@The Texas Medical Center (2)
- DigitalCommons@University of Nebraska - Lincoln (2)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (24)
- FUNDAJ - Fundação Joaquim Nabuco (4)
- Helda - Digital Repository of University of Helsinki (9)
- Indian Institute of Science - Bangalore - Índia (31)
- Institutional Repository of Leibniz University Hannover (2)
- Instituto Nacional de Saúde de Portugal (2)
- Instituto Politécnico do Porto, Portugal (6)
- Memorial University Research Repository (2)
- National Center for Biotechnology Information - NCBI (35)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (31)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (138)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (42)
- Queensland University of Technology - ePrints Archive (38)
- Repositorio Academico Digital UANL (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (3)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (50)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Scientific Open-access Literature Archive and Repository (1)
- Universidad de Alicante (8)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (6)
- Universidade de Lisboa - Repositório Aberto (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (6)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (117)
- University of Queensland eSpace - Australia (43)
Resumo:
An algorithm, based on ‘vertex priority values’ has been proposed to uniquely sequence and represent connectivity matrix of chemical structures of cyclic/ acyclic functionalized achiral hydrocarbons and their derivatives. In this method ‘vertex priority values’ have been assigned in terms of atomic weights, subgraph lengths, loops, and heteroatom contents. Subsequently the terminal vertices have been considered upon completing the sequencing of the core vertices. This approach provides a multilayered connectivity graph, which can be put to use in comparing two or more structures or parts thereof for any given purpose. Furthermore the basic vertex connection tables generated here are useful in the computation of characteristic matrices/ topological indices, automorphism groups, and in storing, sorting and retrieving of chemical structures from databases.