Conus Venom Peptide Pharmacology

2012 ◽  
Vol 64 (2) ◽  
pp. 259-298 ◽  
Author(s):  
Richard J. Lewis ◽  
Sébastien Dutertre ◽  
Irina Vetter ◽  
MacDonald J. Christie
Keyword(s):  
Venom Peptide ◽  
Conus Venom

Conorfamide, a Conus venom peptide belonging to the RFamide family of neuropeptides

Toxicon ◽  
2002 ◽  
Vol 40 (4) ◽  
pp. 401-407 ◽  
Author(s):  
M. Maillo ◽  
M.B. Aguilar ◽  
E. Lopéz-Vera ◽  
A.G. Craig ◽  
G. Bulaj ◽  
...  
Keyword(s):  
Venom Peptide ◽  
Conus Venom

Autocrine‐Based Selection of Drugs That Target Ion Channels from Combinatorial Venom Peptide Libraries

2016 ◽  
Vol 55 (32) ◽  
pp. 9306-9310 ◽  
Author(s):  
Hongkai Zhang ◽  
Mingjuan Du ◽  
Jia Xie ◽  
Xiao Liu ◽  
Jingying Sun ◽  
...  
Keyword(s):  
Ion Channels ◽  
Peptide Libraries ◽  
Venom Peptide ◽  
Selection Of

scholarly journals Precursor of a Novel Scorpion Venom Peptide (BmKn1) with no Disulfide Bridge from Buthus martensii Karsch

IUBMB Life ◽  
2001 ◽  
Vol 51 (2) ◽  
pp. 117-120
Author(s):  
Xian-Chun Zeng, Wen-Xin Li, San-Xia Wang, Shu
Keyword(s):  
Disulfide Bridge ◽  
Scorpion Venom ◽  
Venom Peptide

scholarly journals Apoptotic Effects of Mount Bulgar Viper (Montivipera bulgardaghica) PLA2 and SVMPs Venom Peptide fractions on HeLa and A549 Cancer Cells

Proceedings ◽  
2017 ◽  
Vol 1 (10) ◽  
pp. 1049 ◽  
Author(s):  
Yalcin Erzurumlu ◽  
Daniel Petras ◽  
Bayram Goçmen ◽  
Benjamin-Florian Hempel ◽  
Paul Heiss ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Venom Peptide ◽  
Apoptotic Effects ◽  
Peptide Fractions

Autocrine‐Based Selection of Drugs That Target Ion Channels from Combinatorial Venom Peptide Libraries

2016 ◽  
Vol 128 (32) ◽  
pp. 9452-9456
Author(s):  
Hongkai Zhang ◽  
Mingjuan Du ◽  
Jia Xie ◽  
Xiao Liu ◽  
Jingying Sun ◽  
...  
Keyword(s):  
Ion Channels ◽  
Peptide Libraries ◽  
Venom Peptide ◽  
Selection Of

scholarly journals A scorpion venom peptide Ev37 restricts viral late entry by alkalizing acidic organelles

2018 ◽  
Vol 294 (1) ◽  
pp. 182-194 ◽  
Author(s):  
Fangfang Li ◽  
Yange Lang ◽  
Zhenglin Ji ◽  
Zhiqiang Xia ◽  
Yuewen Han ◽  
...  
Keyword(s):  
Scorpion Venom ◽  
Late Entry ◽  
Venom Peptide ◽  
Acidic Organelles

scholarly journals BmKn-2 Scorpion Venom Peptide for Killing Oral Cancer Cells by Apoptosis

2015 ◽  
Vol 16 (7) ◽  
pp. 2807-2811 ◽  
Author(s):  
Pirut Tong-ngam ◽  
Sittiruk Roytrakul ◽  
Hathaitip Sritanaudomchai
Keyword(s):  
Oral Cancer ◽  
Cancer Cells ◽  
Scorpion Venom ◽  
Venom Peptide ◽  
Oral Cancer Cells

scholarly journals Enhanced Antimicrobial Activity of AamAP1-Lysine, a Novel Synthetic Peptide Analog Derived from the Scorpion Venom Peptide AamAP1

2014 ◽  
Vol 7 (5) ◽  
pp. 502-516 ◽  
Author(s):  
Ammar Almaaytah ◽  
Shadi Tarazi ◽  
Ahmad Abu-Alhaijaa ◽  
Yara Altall ◽  
Nizar Alshar'i ◽  
...  
Keyword(s):  
Antimicrobial Activity ◽  
Synthetic Peptide ◽  
Scorpion Venom ◽  
Peptide Analog ◽  
Venom Peptide

scholarly journals Discovery of Novel Conotoxin Candidates Using Machine Learning

Toxins ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 503 ◽  
Author(s):  
Qing Li ◽  
Maren Watkins ◽  
Samuel Robinson ◽  
Helena Safavi-Hemami ◽  
Mark Yandell
Keyword(s):  
Machine Learning ◽  
De Novo ◽  
Current Reference ◽  
Marine Snails ◽  
Rnaseq Data ◽  
Venom Glands ◽  
Reference Databases ◽  
Conus Venom ◽  
Chemical Characters ◽  
Drug Leads

Cone snails (genus Conus) are venomous marine snails that inject prey with a lethal cocktail of conotoxins, small, secreted, and cysteine-rich peptides. Given the diversity and often high affinity for their molecular targets, consisting of ion channels, receptors or transporters, many conotoxins have become invaluable pharmacological probes, drug leads, and therapeutics. Transcriptome sequencing of Conus venom glands followed by de novo assembly and homology-based toxin identification and annotation is currently the state-of-the-art for discovery of new conotoxins. However, homology-based search techniques, by definition, can only detect novel toxins that are homologous to previously reported conotoxins. To overcome these obstacles for discovery, we have created ConusPipe, a machine learning tool that utilizes prominent chemical characters of conotoxins to predict whether a certain transcript in a Conus transcriptome, which has no otherwise detectable homologs in current reference databases, is a putative conotoxin. By using ConusPipe on RNASeq data of 10 species, we report 5148 new putative conotoxin transcripts that have no homologues in current reference databases. 896 of these were identified by at least three out of four models used. These data significantly expand current publicly available conotoxin datasets and our approach provides a new computational avenue for the discovery of novel toxin families.

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