Q52784 AF NFT

Uncharacterized protein in rpoN-linked probable transport protein 5'region (Fragment)

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihce4wlqzm5vy7xfx3hyeggfgdnqvyrn26vwqh7zpck7yye6i7k3i/metadata.json
IPFS of structure file: 
bafybeicp7ginenunn5qg3lbtgqdlijb7kwun5ujeyv2avflq6gadbkuw3q/AF-Q52784-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x463Be372c11f96eeBDBC4baa0AB3805D50aD7Ccd
First NFT owner address (bech32): 
genesis1gca7xukpr7twa0dufw4q4vuqt4g26lxddh7d5q
Current NFT ID #535323 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
535323
Accession (UniProt):
Q52784
Name::
Uncharacterized protein in rpoN-linked probable transport protein 5'region (Fragment)
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM ETLI

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 Q52784 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q52784|YNTX_RHIET Uncharacterized protein in rpoN-linked probable transport protein 5'region (Fragment) OS=Rhizobium etli OX=29449 PE=4 SV=1 GNKVILSDGPNVFTGCKLTVHMQTGQAELESCGGRVQIQLDPKSQPNAQQQKQN