Q83LB2 AF NFT

UPF0283 membrane protein YcjF

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicbcar4tp6cfdsnmjxyiohil7tx5rdf55iqmpuz6aq7emok3qgtkm/metadata.json
IPFS of structure file: 
bafybeifocpdkui7r5pspqp577hjvfkjom5nbt52i3vbnhvvkhzf7hesxea/AF-Q83LB2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x61E65F88ec27E6A5EcEACd71FeF1FE2264bb3e71
First NFT owner address (bech32): 
genesis1v8n9lz8vyln2tm82e4clau07yfjtk0n3atj0pz
Current NFT ID #527790 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
527790
Accession (UniProt):
Q83LB2
Name::
UPF0283 membrane protein YcjF
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA FLEXNERI

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 Q83LB2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83LB2|YCJF_SHIFL UPF0283 membrane protein YcjF OS=Shigella flexneri OX=623 GN=ycjF PE=3 SV=1 MTEPLKPRIDFDGPLEVEQNPKFRAQQTFDENQAQNFAPATLDEAQEEEGQVEAVMDAALRPKRSLWRKMVMGGLALFGASVVGQGIQWTMNAWQTQDWVALGGCAAGALIIGAGVGSVVTEWRRLWRLRQRAHERDEARDLLHSHGTGKGRAFCEKLAQQAGIDQSHPALQRWYASIHETQNDREVVSLYAHLVQPVLDAQARREISRSAAESTLMIAVSPLALVDMAFIAWRNLRLINRIATLYGIELGYYSRLRLFKLVLLNIAFAGASELVREVGMDWMSQDLAARLSTRAAQGIGAGLLTVRLGIKAMELCRPLPWIDDDKPRLGDFRRQLIGQVKETLQKGKTPSEK