Q8D0B5 AF NFT

Flagellar protein FliT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavirjms753c6zggkqqo64am2rai3zomhuoh5rp4vyxme74nfwnza/metadata.json
IPFS of structure file: 
bafybeiccblw4q57pzl6f2mcj5bc7a6jheffcd3hvhmqro5yzz5otrlcmju/AF-Q8D0B5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x32487a5305f4984ca258817a77b56Dc58ab8670B
First NFT owner address (bech32): 
genesis1xfy855c97jvyegjcs9a80dtdck9tsectly3ckr
Current NFT ID #132460 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132460
Accession (UniProt):
Q8D0B5
Name::
Flagellar protein FliT
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 Q8D0B5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8D0B5|FLIT_YERPE Flagellar protein FliT OS=Yersinia pestis OX=632 GN=fliT PE=3 SV=2 MERHQHLLSEYQQILTLSEQMLMLATVENWNALVDLEMTYLKAVENTANITISSCTSPVLQELLRQKLRSILENEIEIKRLLQRRLDKLSELVGQSTRQQAVNRTYGQFPDQALLLGETQ