{"title":"栉水母科蜘蛛毒素中的二硫键模式与 Alpha Fold 2.0 预测结果的比较","authors":"P. Mironov, Z. Shenkarev","doi":"10.55959/10.55959/msu0137-0952-16-78-3s-3","DOIUrl":null,"url":null,"abstract":"Wandering spiders (family Ctenidae) have multicomponent venoms in which more than\n500 different peptides and proteins, called ctenitoxins, have been identified. The main\ncomponents of the venom are cysteine-rich peptides containing an inhibitory cystine knot\n(ICK) motif. The pharmacological diversity of ctenitoxins allows us to consider some of them\nas prototypes for the development of new drugs for the treatment of chronic pain,\nHuntington’s disease, erectile dysfunction and glaucoma. According to the location of\ncysteine residues in the amino acid sequence, ctenitoxins are divided into 14 groups\ncontaining from 6 to 14 Cys residues. Currently, the spatial structure of only one ctenitoxin,\nω-CNTX-Pn4a (Pha1β or Tx3-6) from the Brazilian wandering spider Phoneutria nigriventer,\nhas been determined. Another 10 structural groups of ctenitoxins have homology with the\nknown spatial structures of spider toxins of other families and other proteins, and for three\ngroups the structural homologues are unknown. In this paper, we proposed possible disulfide\nbonding patterns for all groups of ctenitoxins. A comparison of the obtained schemes with the\npredictions of the AlphaFold 2.0 program shows that this neural network does not always\ncorrectly predict the structures of cysteine-rich peptides, especially if the structures of mature\nmolecules without leader sequences are modeled.","PeriodicalId":334823,"journal":{"name":"Vestnik Moskovskogo universiteta. Seria 16. Biologia","volume":"68 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Disulfide bond patterns in the toxins of spiders of the Ctenidae family.\\nComparison with Alpha Fold 2.0 predictions\",\"authors\":\"P. Mironov, Z. Shenkarev\",\"doi\":\"10.55959/10.55959/msu0137-0952-16-78-3s-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wandering spiders (family Ctenidae) have multicomponent venoms in which more than\\n500 different peptides and proteins, called ctenitoxins, have been identified. The main\\ncomponents of the venom are cysteine-rich peptides containing an inhibitory cystine knot\\n(ICK) motif. The pharmacological diversity of ctenitoxins allows us to consider some of them\\nas prototypes for the development of new drugs for the treatment of chronic pain,\\nHuntington’s disease, erectile dysfunction and glaucoma. According to the location of\\ncysteine residues in the amino acid sequence, ctenitoxins are divided into 14 groups\\ncontaining from 6 to 14 Cys residues. Currently, the spatial structure of only one ctenitoxin,\\nω-CNTX-Pn4a (Pha1β or Tx3-6) from the Brazilian wandering spider Phoneutria nigriventer,\\nhas been determined. Another 10 structural groups of ctenitoxins have homology with the\\nknown spatial structures of spider toxins of other families and other proteins, and for three\\ngroups the structural homologues are unknown. In this paper, we proposed possible disulfide\\nbonding patterns for all groups of ctenitoxins. A comparison of the obtained schemes with the\\npredictions of the AlphaFold 2.0 program shows that this neural network does not always\\ncorrectly predict the structures of cysteine-rich peptides, especially if the structures of mature\\nmolecules without leader sequences are modeled.\",\"PeriodicalId\":334823,\"journal\":{\"name\":\"Vestnik Moskovskogo universiteta. Seria 16. Biologia\",\"volume\":\"68 12\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vestnik Moskovskogo universiteta. Seria 16. Biologia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55959/10.55959/msu0137-0952-16-78-3s-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vestnik Moskovskogo universiteta. Seria 16. Biologia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55959/10.55959/msu0137-0952-16-78-3s-3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Disulfide bond patterns in the toxins of spiders of the Ctenidae family.
Comparison with Alpha Fold 2.0 predictions
Wandering spiders (family Ctenidae) have multicomponent venoms in which more than
500 different peptides and proteins, called ctenitoxins, have been identified. The main
components of the venom are cysteine-rich peptides containing an inhibitory cystine knot
(ICK) motif. The pharmacological diversity of ctenitoxins allows us to consider some of them
as prototypes for the development of new drugs for the treatment of chronic pain,
Huntington’s disease, erectile dysfunction and glaucoma. According to the location of
cysteine residues in the amino acid sequence, ctenitoxins are divided into 14 groups
containing from 6 to 14 Cys residues. Currently, the spatial structure of only one ctenitoxin,
ω-CNTX-Pn4a (Pha1β or Tx3-6) from the Brazilian wandering spider Phoneutria nigriventer,
has been determined. Another 10 structural groups of ctenitoxins have homology with the
known spatial structures of spider toxins of other families and other proteins, and for three
groups the structural homologues are unknown. In this paper, we proposed possible disulfide
bonding patterns for all groups of ctenitoxins. A comparison of the obtained schemes with the
predictions of the AlphaFold 2.0 program shows that this neural network does not always
correctly predict the structures of cysteine-rich peptides, especially if the structures of mature
molecules without leader sequences are modeled.