O28648 AF NFT

Uncharacterized protein AF_1625

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidt445crydkbzcpib6h65m3i3zpbt42hv4ptdcnyj73gqqxrjq3z4/metadata.json
IPFS of structure file: 
bafybeign6idvjhva73cqcj4fv65tz2bricw522rfltpd3kwwniwpm45gwm/AF-O28648-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #508324 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
508324
Accession (UniProt):
O28648
Name::
Uncharacterized protein AF_1625
Experimental Method:
Predicted structure
Sequence source:
Archaeoglobus fulgidus (strain ATCC 49558 / DSM 4304 / JCM 9628 / NBRC 100126 / VC-16)

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 O28648 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O28648|Y1625_ARCFU Uncharacterized protein AF_1625 OS=Archaeoglobus fulgidus (strain ATCC 49558 / DSM 4304 / JCM 9628 / NBRC 100126 / VC-16) OX=224325 GN=AF_1625 PE=3 SV=1 MDSKAVSPLIGFVLMLAIIMGLIGIMQAQWVPVWNKEVEAEHLSKLEFEASEIPKIMFISATTGKQGVASIDAGCEYPNRGFLINPSTASTSLKAIPLSVDVKFNETLPNGSLFRYSNKFTTYAIIVQPNYFYMQKPEIIVEHSAVIKTSGNSALNVSSPVSFSRNKVHLFIVNSTFSSISTPNTLNLQFIPVSYGGDTFVKNASITLKVLDETFDWWNKTLKNIFGAGNVTADGSRKEMTFRLFNTTLSMSYLIVQASIGERAKLNERIEPYRIFATSSNTLSMLKGEQRELNVKVLDIYNNPVRGYSRVSYSVVSGGDKCRIVSASPQTDEKGVFTVTVEAVNSGNCDVEFRIDSINSGFNKTKFSITVIPVSSGGLGGQGYLSFTPASRGLVEIYHGPVNGFIDPTKPPAESPRDLITDPNWEPYALEDKELAAYNDGSWDWWSGEYVPTSGYLEKTQNNAQSKQNSQKNHASQLFEFNVGDVQMSSLKVFWNGIAWLDVQNNRNDGVVLYVWNGTGWEYLCDTTSSSEVWLQCEKRGNYIQNKKVYLLIVQNDWTQTWKGNRDSQIYTDYIELDILT