Q65EN2 AF NFT

Enolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieluno5oy2jplqvucb5zi7ayggyhpdqgvbcieoybnfy2tytq7r6za/metadata.json
IPFS of structure file: 
bafybeie4n6mmwnp7xm6nbkleyzjaojxwpd76bdss4xm2awei6hjzrmuj4q/AF-Q65EN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0356e122c1fF1b685d1f6dBC2f0B9adCa50B5286
First NFT owner address (bech32): 
genesis1qdtwzgkpludkshgldk7z7zu6mjjsk55x0xa787
Current NFT ID #117602 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
117602
Accession (UniProt):
Q65EN2
Name::
Enolase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65EN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65EN2|ENO_BACLD Enolase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=eno PE=3 SV=1 MPYIVDVYAREVLDSRGNPTVEVEVYTESGAFGRALVPSGASTGEYEAVELRDGDKDRYLGKGVLTAVNNVNEIIAPELIGFDVTEQVSIDKLLIELDGTENKGKLGANAILGVSMAVARAAADFLQIPLYQYLGGFNSKTLPVPMMNIVNGGEHADNNVDIQEFMIMPVGAENFREALRMGAQIFHSLKSVLKEKGLNTAVGDEGGFAPNLGSNEEALQTIVEAIEKAGFKPGEEVKLAMDAASSEFYNKEDGKYHLAGEGVVKTSAEMVDWYEELTSKYPIISIEDGLDENDWEGHKLLTERLGSKVQLVGDDLFVTNTKKLAEGIKNGVGNSILIKVNQIGTLTETFDAIEMAKRAGYTAVISHRSGETEDSTIADIAVATNAGQIKTGAPSRTDRVAKYNQLLRIEDQLAETAQYHGIQSFYNLNK