P16454 AF NFT

Attachment invasion locus protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiee2x2dcnghybht64efijlujnhc52bb34lnvk5cx7idj4bn2y5saa/metadata.json
IPFS of structure file: 
bafybeiesgrbk5h3pzti7u3unmmbuv5xi6ydzerinmjx6msgin7l75serbe/AF-P16454-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDc13e34B26d3682efCB1c1BDcD0e59E84871f18b
First NFT owner address (bech32): 
genesis1msf7xjex6d5zal93cx7u6rjeapy8ruvtlvuwh7
Current NFT ID #12093 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
12093
Accession (UniProt):
P16454
Name::
Attachment invasion locus protein
Experimental Method:
Predicted structure
Sequence source:
YERSINIA ENTEROCOLITICA

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 P16454 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P16454|AIL_YEREN Attachment invasion locus protein OS=Yersinia enterocolitica OX=630 GN=ail PE=1 SV=1 MKKTLLASSLIACLSIASVNVYAASESSISIGYAQSHVKENGYTLDNDPKGFNLKYRYELDDNWGVIGSFAYTHQGYDFFYGSNKFGHGDVDYYSVTMGPSFRINEYVSLYGLLGAAHGKVKASVFDESISASKTSMAYGAGVQFNPLPNFVIDASYEYSKLDSIKVGTWMLGAGYRF