A9R7P5 AF NFT

Flagellar protein FliT

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiez4wwkyvxt6kll5uy7aql6yvnjvlj32fwsjj7v4z5wujhshdcnfu/metadata.json
IPFS of structure file: 
bafybeic62xalsauaz3cefnclbkjlr23mddqwqan6r7ia5s2f5nx3yzbdyq/AF-A9R7P5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEfBeEE7915c401dDa9e52C7608ad40797D558f83
First NFT owner address (bech32): 
genesis1a7lwu7g4csqam20993mq3t2q0974trurersv5r
Current NFT ID #132461 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
132461
Accession (UniProt):
A9R7P5
Name::
Flagellar protein FliT
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 A9R7P5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9R7P5|FLIT_YERPG Flagellar protein FliT OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=fliT PE=3 SV=2 MERHQHLLSEYQQILTLSEQMLMLATVENWNALVDLEMTYLKAVENTANITISSCTSPVLQELLRQKLRSILENEIEIKRLLQRRLDKLSELVGQSTRQQAVNRTYGQFPDQALLLGETQ