A9QZK7 AF NFT

UPF0178 protein YpAngola_A2785

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie5lzm4urb3yriigq7kyncvzn4w42pwg6bp23yxekep4ehw5gnafy/metadata.json
IPFS of structure file: 
bafybeid7dvtsdy76yr7c7lyt4b4bw2p6s4ajbvlkksoim5tnpu4ffozyrq/AF-A9QZK7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B9C1843C18E3Db57c90541Af4e30FE5153fE095
First NFT owner address (bech32): 
genesis1nwwpss7p3c7m2lys2sd0fcc0u52nlcy45ykw2g
Current NFT ID #513643 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
513643
Accession (UniProt):
A9QZK7
Name::
UPF0178 protein YpAngola_A2785
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9QZK7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9QZK7|Y2785_YERPG UPF0178 protein YpAngola_A2785 OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=YpAngola_A2785 PE=3 SV=1 MQIWVDADACPNVIKEVLFRAADRTGMMVTLVANQPLKTPPSKFIRTVQVASGFDVADNEIVQRVEKNDLVITADIPLAAEVIEKGGIALNPRGERYTPDTIRERLNMRDFMDTMRASGIQTGGPNTLNQRDRQQFANELDKWLQQARNQAK