Q83L82 AF NFT

Uncharacterized protein YobH

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihypkfsq2nahln2rycttgqlrbusz5yjvx6nisd5exqqz7ukqabwt4/metadata.json
IPFS of structure file: 
bafybeico2464jzym52h2ywlg642assyakjh6ytlqz7i6tyrqptvlmwiz2u/AF-Q83L82-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7c75F0f7d6d136A2b8D4C6C6e9b3D8a697949DF1
First NFT owner address (bech32): 
genesis1036lpa7k6ym29wx5cmrwnv7c56tef803cmwzax
Current NFT ID #535682 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
535682
Accession (UniProt):
Q83L82
Name::
Uncharacterized protein YobH
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 Q83L82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83L82|YOBH_SHIFL Uncharacterized protein YobH OS=Shigella flexneri OX=623 GN=yobH PE=3 SV=1 MRFIIRTVMLIALVWIGLLLSGYGVLIGSKENAAGLGLQCTYLTARGTSTVQYLHTKSGFLEITDCPLLRKSNIVVDNG