Identification and classification of conopeptides using profile Hidden Markov Models-Reference-Cited by-同舟云学术

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Identification and classification of conopeptides using profile Hidden Markov Models

Published:2012-03 Issue:3 Volume:1824 Page:488-492
ISSN:1570-9639
Container-title:Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics
language:en
Short-container-title:Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics

Author:

Laht Silja,Koua Dominique,Kaplinski Lauris,Lisacek Frédérique,Stöcklin Reto,Remm Maido

Funder

European Commission

European Regional Development Fund

Publisher

Elsevier BV

Subject

Molecular Biology,Biochemistry,Biophysics,Analytical Chemistry

Reference21 articles.

1. Conotoxin venom peptide therapeutics;Lewis;Adv. Exp. Med. Biol.,2009

2. Conus venoms: a rich source of novel ion channel-targeted peptides;Terlau;Physiol. Rev.,2004

3. Ziconotide: neuronal calcium channel blocker for treating severe chronic pain;Miljanich;Curr. Med. Chem.,2004

4. Biosynthesis of conopeptides;Olivera,2002

5. Marine snail venoms: use and trends in receptor and channel neuropharmacology;Favreau;Curr. Opin. Pharmacol.,2009

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1. High conopeptide diversity in Conus striatus: Revealed by integration of two transcriptome sequencing platforms;Frontiers in Marine Science;2022-11-15

2. An improved deep learning model for hierarchical classification of protein families;PLOS ONE;2021-10-20

3. Gene content of the fish-hunting cone snail Conus consors;2019-03-28

4. High Throughput Identification of Novel Conotoxins from the Vermivorous Oak Cone Snail (Conus quercinus) by Transcriptome Sequencing;International Journal of Molecular Sciences;2018-12-05

5. Spider Neurotoxins, Short Linear Cationic Peptides and Venom Protein Classification Improved by an Automated Competition between Exhaustive Profile HMM Classifiers;Toxins;2017-08-08

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