Q83JG9 AF NFT

UPF0102 protein YraN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih3fpvepfdhur4picppzpqlzqpuxr3xqc7kysuoetgpz3bw7flu6u/metadata.json
IPFS of structure file: 
bafybeigfnxitnpvm6pps6sgxmfotvtqaygqri3ddgdoyucwtlwzh3y6say/AF-Q83JG9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xba5fB0D21f0B04Cdf2D70FE38daDdF696FDB8152
First NFT owner address (bech32): 
genesis1hf0mp5slpvzvmukhpl3cmtwld9hahq2jjqxejc
Current NFT ID #537958 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
537958
Accession (UniProt):
Q83JG9
Name::
UPF0102 protein YraN
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 Q83JG9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83JG9|YRAN_SHIFL UPF0102 protein YraN OS=Shigella flexneri OX=623 GN=yraN PE=3 SV=1 MATVPTRSGSPRQLTTKQTGDAWEAQARRWLEGKGLRFIAANVNERGGEIDLIMREGLTTVFVEVRYRRSALYGGAAASVTRSKQHKLLQTARLWLARHNGSFDTVDCRFDVVAFTGNEVEWIKDAFNDHS