Q57722 AF NFT

Uncharacterized protein MJ0274

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpxniemcisjcj7qxhiwr7zxhe4g3kik5f4ytmjzkrxug7ykbwkdu/metadata.json
IPFS of structure file: 
bafybeigctfbr4hrrojkave46huvfsb4inavrls6ehtnpsyo6dgpcc6ek74/AF-Q57722-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x60dAFbEFBA779dBBed16Ca399A3cAd035A85c41d
First NFT owner address (bech32): 
genesis1vrd0hma6w7wmhmgkegue509dqddgt3qaugx8w8
Current NFT ID #513547 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513547
Accession (UniProt):
Q57722
Name::
Uncharacterized protein MJ0274
Experimental Method:
Predicted structure
Sequence source:
METHANOCALDOCOCCUS JANNASCHII (STRAIN ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440)

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 Q57722 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q57722|Y274_METJA Uncharacterized protein MJ0274 OS=Methanocaldococcus jannaschii (strain ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440) OX=243232 GN=MJ0274 PE=4 SV=1 MLIRFITDSAKPIVIIGDFLVIIMMIGRALILDGYTDEPAGLGVPPYIGIYPRYAYGALDKYNVKVDYITIDKFREIRGDFNLNKYDAIICICGFHTPGKYLNANPATLKEFVSILYKYDGLKILGGPAATKYGSSMIGGKIEDESKYKAFFDVVAEGDLEAVLNDLLREGSIEKIDFNRYRTYEELREYAIRGAKVVKKHPNYPYIIAEIETYRGCPRALTGGCSFCTEPRRFGLPKFRDEKDIIDEIKVLYNEGIKYFRIGRQPCMFSYKSIDSEKEEVPKPNVEAIEKLFKGIRNVSNPKVLHIDNANPAVIARHEDESREVAKILVKYCTSGNVAAFGVESFDEKVIKANNLLTTPEDVLKAVEILNEVGGKRGETGLPYLLPGINLLFGLKGERKETFTINFEYLKEIYDRGFMIRRINIRQVVPFFGTDITLKDIKKAEKRKKLFLWFKEKVREEIDNKMLKRVVPKGTILRDVFVEVKEREDLYFGRQFGSYPLLVGILDKNLKIGEFVDVEVVDYGRRSITGKVVRDIRKIHIVG