Identification and functional characterization of novel scorpion venom peptides with no disulfide bridge from Buthus martensii Karsch

Zeng, Xian‐Chun; Sanxia, Wang; Zhu, Yan; Zhu, Shunyi; Li, Wenxin

doi:10.1016/j.peptides.2003.12.003

Cited by 113 publications

(96 citation statements)

References 26 publications

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“…Acidic peptides are a unique group of scorpion NDBPs that are rich in acidic amino acid residues D and E [7]. We identified two different acidic NDBPs from the venom glands of A. bicolor, which were referred to as Aba-1 (KJ787284) and Aba-2 (KJ787285), respectively.…”

Section: Bmka2-like Peptidesmentioning

confidence: 99%

“…They can be classified into two classes: cationic and highly acidic peptides. The acidic peptides are mainly composed of coiled-coil structures, and their activities have not yet been characterized [6,7]. The cationic peptides from scorpions are usually α-helical and amphipathic molecules that may possess either antimicrobial or bradykinin-potentiating activities, or act as signaling molecules involved in the modulation of immune response.…”

Section: Introductionmentioning

confidence: 99%

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Unique diversity of the venom peptides from the scorpion Androctonus bicolor revealed by transcriptomic and proteomic analysis

Zhang

Shi

Zeng

et al. 2015

Journal of Proteomics

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Section: Bmka2-like Peptidesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Unique diversity of the venom peptides from the scorpion Androctonus bicolor revealed by transcriptomic and proteomic analysis

Zhang

Shi

Zeng

et al. 2015

Journal of Proteomics

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“…In our previous study, we characterized two cationic host defense peptides, BmKn2 and BmKb1, derived from the venom of Buthus martensii Karsch (53). Here, we describe a novel cationic defense peptide mucroporin, which is the first cationic host defense peptide characterized from the scorpion Lychas mucronatus.…”

mentioning

confidence: 99%

“…Cationic host defense peptides have also been found in scorpion hemolymph (14,18) and venom, including hadrurin (46), scorpine (15), opistoporins, parabutoporin (39), ISCTs (17), pandinins (16), and BmKn2 and BmKb1 (53). The functions of these scorpion-derived peptides vary from cytotoxic (17) to inhibiting bacteria (15,46) to inhibiting fungus (18,39).…”

mentioning

confidence: 99%

Mucroporin, the First Cationic Host Defense Peptide from the Venom ofLychas mucronatus

Dai

Zhao

et al. 2008

Antimicrob Agents Chemother

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The misuse of antibiotics has led our age to a dangerous edge, as antibiotic-resistant pathogens appear to evolve more quickly than antibiotics are invented. Thus, new agents to treat bacterial infection are badly needed. Cationic host defense peptides are on the first line of a host defense system and are thought to be good candidates for treating bacterial infection. Here, a novel cationic host defense peptide, mucroporin, was cloned and characterized from the venom of Lychas mucronatus. The MIC for Staphylococcus aureus was 25 g/ml, including antibiotic-resistant pathogens. Based on the molecular template of mucroporin, mucroporin-M1 was designed by amino acid substitution. The MIC for S. aureus was 5 g/ml, including the antibiotic-resistant pathogens methicillin-resistant S. aureus, methicillin-resistant coagulase-negative Staphylococcus, penicillinresistant S. aureus, and penicillin-resistant S. epidermidis. Moreover, mucroporin-M1 also inhibited gramnegative bacteria. The modes of action of mucroporin and mucroporin-M1 were both rapid killing by disrupting the cell membrane of bacteria, and the number of surviving bacteria was reduced by about 4 to 5 orders of magnitude immediately after peptide delivery. These results showed that mucroporin could be considered a potential anti-infective drug, especially for treating antibiotic-resistant pathogens.

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“…However the extreme complexity of peptide properties, including the mass and length, isoelectric point, hydrophobicity and hydrophilicity of peptides, consists of 550 feature vector [16]. After correlation analysis, we found that the physical and chemical characteristics of peptides contain numerous highly correlated features-these redundant information will increase complexity and difficulty in process of data analysis.…”

Section: Peptide Feature Extraction and Prediction On Peptide Detectamentioning

confidence: 97%

Research on Efficient Algorithm of Peptide Identification and Quantification in Proteomics

Wang¹,

Zhang²,

Zhu³

et al. 2016

Proceedings of the 2016 International Conference on Biomedical and Biological Engineering

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Abstract. Because of its simple experiment design and low experiment cost, label-free quantitative technology based on mass spectrometry analysis is being used more and more widely. Aiming at peptide identification and quantification, which are pivotal step of the label-free quantitative analysis, we develop an efficient algorithm named XIC Finder based on C++ platform. In term of the peptides which failed to be identified by MS/MS spectrum, we utilize ESP model trained by 20 optimized peptide features with Random Forest method, to predict those peptides detectability and chose the highest scored peptide as the correct peptide. Compared with MaxQuant and IDEAL-Q, other algorithms developed for quantitative MS data, XIC Finder improves the performance of the peptide identification and quantification significantly. Furthermore, we evaluated the reproducibility and precision of XIC Finder by using the replication dataset and the UPS1 standard data set respectively and prove the result is better than other algorithms.

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Identification and functional characterization of novel scorpion venom peptides with no disulfide bridge from Buthus martensii Karsch

Cited by 113 publications

References 26 publications

Unique diversity of the venom peptides from the scorpion Androctonus bicolor revealed by transcriptomic and proteomic analysis

Unique diversity of the venom peptides from the scorpion Androctonus bicolor revealed by transcriptomic and proteomic analysis

Mucroporin, the First Cationic Host Defense Peptide from the Venom ofLychas mucronatus

Research on Efficient Algorithm of Peptide Identification and Quantification in Proteomics

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