P0C2V6 AF NFT

Negative regulator of flagellin synthesis

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigsipnhgebyo44iteq3fdgk5zwgdfzewxuqpy7kue4zrvmwfud4b4/metadata.json
IPFS of structure file: 
bafybeifcnnbz4og5c5kge57iq4ea7z5gnwd2owmm3mwrnq6rf2gmusjwoa/AF-P0C2V6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEa7895d4C013f5DC92500149D1BFf12D23755C20
First NFT owner address (bech32): 
genesis1afuft4xqz06aeyjsq9yar0l3953h2hpq4zjfxm
Current NFT ID #131869 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
131869
Accession (UniProt):
P0C2V6
Name::
Negative regulator of flagellin synthesis
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 P0C2V6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C2V6|FLGM_YEREN Negative regulator of flagellin synthesis OS=Yersinia enterocolitica OX=630 GN=flgM PE=3 SV=1 MSIDRTQPLLPVTQVQPRETSDIAQQTRKPSAQSKTPVSGTEVKLSDAQAKLMQPGSQDINVERVETLKQAIRSGQLTMDTGKIADALLKNVADDLKSS