Q9LA29 AF NFT

UPF0283 membrane protein YcjF

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibcybwwqislsgbvs2tuexfwule4ni7e52pty7kczheds5rpdqr45q/metadata.json
IPFS of structure file: 
bafybeid2tik7xq2nej2ajxchq6wd3uxzbb46qsphxlhfxvi3b5bgp7ddj4/AF-Q9LA29-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xeD1A6159e26791F22a6cE039130D208Ac313c418
First NFT owner address (bech32): 
genesis1a5dxzk0zv7gly2nvuqu3xrfq3tp383qcrqedv0
Current NFT ID #527788 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
527788
Accession (UniProt):
Q9LA29
Name::
UPF0283 membrane protein YcjF
Experimental Method:
Predicted structure
Sequence source:
SHIGELLA DYSENTERIAE

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 Q9LA29 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LA29|YCJF_SHIDY UPF0283 membrane protein YcjF OS=Shigella dysenteriae OX=622 GN=ycjF PE=3 SV=1 MTEPLKPRIDFDGPLEVDQNPKFRAQQTFDENQAQNFAPATLDEAQEEEGQVEAVMDAALRPKRSLWRKMVMGGLALFGASVVGQGVQWTMNACQTQDWVALGGCAAGALIIGAGVGSVVTEWRRLWRLRQRAHERDEARDLLHSHGTGKGRVFCEKLAQQAGIDQSHPALQRWYASIHETQNDREVVSLYAHLVQPVLDAQARREISRSAAESTLMIAVSPLALVDMAFIAWRNLRLINRIATLYGIELGYYSRLRLFKLVLLNIAFAGASELVREVGMDWMSQDLAARLSTRAAQGIGAGLLTARLGIKAMELCRPLPWIDDDKPRLGDFRRQLIGQVKETL