Q66CV5 AF NFT

UPF0352 protein YPTB1297

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiefakyyrjknd4poe3h3atw6zea4qzfg3rdr2pilpuzedh7fv6cohu/metadata.json
IPFS of structure file: 
bafybeiffdzulpahegwgomzih6hlsenztmr7hqiensxwyps43lwuuu7ttby/AF-Q66CV5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x72E041d12a50f200c80734fc7435B25c492A495B
First NFT owner address (bech32): 
genesis1wtsyr5f22reqpjq8xn78gddjt3yj5j2mznnhen
Current NFT ID #505748 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
505748
Accession (UniProt):
Q66CV5
Name::
UPF0352 protein YPTB1297
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66CV5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66CV5|Y1297_YERPS UPF0352 protein YPTB1297 OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=YPTB1297 PE=3 SV=1 MPQSSRYSDEHVEQLLSELVSVLEKHRTPTDLSLMVLGNMVTNLINTSIAPAQRKVLARSFAEALQASVREDKAH