Q56989 AF NFT

Hemin receptor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieajx6fbszrny6hggctxdwk6xl3zc5ezgiqoalaq3ynzgaegacvz4/metadata.json
IPFS of structure file: 
bafybeifknql6cw5h3ue45fhlxzfd73yqzvjro6hx4g7mk432qpy4egu5aa/AF-Q56989-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x52356ec447D386c3f4E18AeC3105aF92799dA203
First NFT owner address (bech32): 
genesis12g6ka3z86wrv8a8p3tkrzpd0jfuemgsr3u6u7r
Current NFT ID #175098 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
175098
Accession (UniProt):
Q56989
Name::
Hemin receptor
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 Q56989 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q56989|HMUR_YERPE Hemin receptor OS=Yersinia pestis OX=632 GN=hmuR PE=3 SV=1 MLRSTSDRFRWSSLSLAIACTLPLATQAADTTTTQTSSKKHSTDTMVVTATGNERSSFEAPMMVTVIEGNAPTSQTAATAADMLRQVPGLTVTGSGRTNGQDVVMRGYGKQGVLTLVDGVRQGTDTGHLNSTFLDPALVKRIEIVRGPAALLYGSGALGGVIAYETVDAADMLQPGQNSGYRVYSSAATGDHSFGLGASAFGRTDDLDGILSFGTRDIGNIRQSNGFNAPNDETISNVLAKGTWQIDSIQSLSANLRYYNNSAIEPKNPQTSAPSSTNVMTNRSTIQRDAQLRYNIKPLDQEWLNATAQVYYSEVEINARPQGSAEEGREQTTEGVKLENRTRLFIESPASHLLTYGTETYKQEQTPGGATESFPQAKIRFSSGWLQDEITLRDLPVSILAGTRYDNYSGSSDGYADVDADKWSSRGAISITPTDWLMLFGSYAQAFRAPTMGEMYNDSKHFAIPIRPGLTLTNYWVPNPNLKPETNETQEYGFGLRFSDLLMAEDDLQFKVSYFDTKAKDYISTRVDMQAMTTTSVNIDQAKIWGWDASMSYKTALFNWDLAYNRTRGKNQNTDEWLDTINPDTVTSIVDVPVANSGFSVGWIGTFANRSSRVSSSTPQAGYGVNDFYVSYKGQEAFKGMTTTMLLGNVFEKEYYTPQGIPQDGRNVKFFVSYQW