Q1C222 AF NFT

Secretion monitor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiehtsrrmldqokdpqskms7ha7rab7b42wmusuaunbuznqtbblrpyym/metadata.json
IPFS of structure file: 
bafybeiexxloxqom3hbk2erjgzgiaehtok22kno7kmn24gdh5er7afx63ey/AF-Q1C222-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb8fcb1440c25fe145d64499BF70D3675058958d3
First NFT owner address (bech32): 
genesis1hr7tz3qvyhlpghtyfxdlwrfkw5zcjkxncymfw5
Current NFT ID #425013 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
425013
Accession (UniProt):
Q1C222
Name::
Secretion monitor
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1C222 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1C222|SECM_YERPA Secretion monitor OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=secM PE=3 SV=1 MIGILNRWRQFGRRYFWPHLLLGMVAASLGVPLNLSGVPDHAALANTSSSQSRQNHGTTNFNSLALLHDIHRRLSFSVDYWQQHALRTVIRHLSFALAPQAAYARVQEVAETERVAPSKIQQLALLDTLNALLTHEFKPPAIIRYTEQVERPVLSPYKPGLWLAQVQGIRAGPANLS