P53129 AF NFT

Vacuolar fusion protein MON1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibnlii6q23pjsvloxdiuubxyf4xyjdg7xkvltzqtrrw2z3fxq7dyq/metadata.json
IPFS of structure file: 
bafybeihrkptjot5evkcrjwjgwvtjbz2hvy7dm4q4ir6quzpums2xo5jdtu/AF-P53129-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x885b3C9522Bc4aE586dd121409A62Ec83F58cfe2
First NFT owner address (bech32): 
genesis13pdne9fzh39wtpkazg2qnf3weql43nlz5d0hcv
Current NFT ID #241607 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
241607
Accession (UniProt):
P53129
Name::
Vacuolar fusion protein MON1
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT P53129 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P53129|MON1_YEAST Vacuolar fusion protein MON1 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=MON1 PE=1 SV=2 MNLNESYLDAEIPKGQLKHSKSGNFEGIPIVATTSEPTTSVNLDETFFKKAPIAMPICDDHSVSKSTSVNSLNTTSLASRRSPLQTKKLQAKNNLLSADLAKSNDDTTRALNSPKKDFGPYLDSENDIRSRLAESIYSMETSIRGSELQRRPYVSNEIPNVFKFSKFNSNCKLNESQTLCDKNFFIFTSAGKPIYCMHGKDEQIMSYTGLVNTVISYFQVNGPSELKTISTLTSGKRLTFLDKSPILLMAQSERGESSNELLNQLDFLYSYILSSLSERQLLRLFSKRENFDLRNYLESTDFENLDEICSLICNRMFPDLLLNSLQCLPFNHSSRLKLQNVVLQQLEKRQDIPRGTLLYGLIIAPQNKLCCVLRPRGHTLHTTDLHLLFCLISHQFQNLDETQELWVPICFPKFNSSGFLYCYIKFLPNDTHSNEKSALVLISAQKDAFFSLKSFSDELIIKLEEEKLLKKINTSKGFKLSDIPAPMVHHFIYKSKQNVQYVMPHFEVNSNIALDSSQGLEYELKLKTYYQQLHGTVVRDNGNLLSRSMLNFVRWSSKDNEDLAMDETQMDFSELDEYIIGNSSFKQESVNMVGMAWVTPTFELYLIGNNGIVDKRVLFKSARKVANWCQKHESRLFISDGAVF