B1IY62 AF NFT

Probable malate:quinone oxidoreductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihgvwsaep6x5sfugw6yku2qqiggwgfazhz6lbpdzz4uuod4ai2b5y/metadata.json
IPFS of structure file: 
bafybeih4p3yi5k2vtbr7ngvh4klb2fzki4qievn5ntut7wp43555tin4fy/AF-B1IY62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5A5f617b5f7A19DF653B3530c1C72bf12240602A
First NFT owner address (bech32): 
genesis1tf0kz76l0gva7efmx5cvr3et7y3yqcp2u7rw78
Current NFT ID #242624 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
242624
Accession (UniProt):
B1IY62
Name::
Probable malate:quinone oxidoreductase
Experimental Method:
Predicted structure
Sequence source:
Escherichia coli (strain ATCC 8739 / DSM 1576 / NBRC 3972 / NCIMB 8545 / WDCM 00012 / Crooks)

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 B1IY62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1IY62|MQO_ECOLC Probable malate:quinone oxidoreductase OS=Escherichia coli (strain ATCC 8739 / DSM 1576 / NBRC 3972 / NCIMB 8545 / WDCM 00012 / Crooks) OX=481805 GN=mqo PE=3 SV=1 MKKVTAMLFSMAVGLNAVSMAAKAKASEEQETDVLLIGGGIMSATLGTYLRELEPEWSMTMVERLEGVAQESSNGWNNAGTGHSALMELNYTPQNADGSISIEKAVAINEAFQISRQFWAHQVERGVLRTPRSFINTVPHMSFVWGEDNVNFLRARYAALQQSSLFRGMRYSEDHAQIKEWAPLVMEGRDPQQKVAATRTEIGTDVNYGEITRQLIASLQKKSNFSLQLSSEVRALKRNDDNTWTVTVADLKNGTAQNIRAKFVFIGAGGAALKLLQESGIPEAKDYAGFPVGGQFLVSENPDVVNHHLAKVYGKASVGAPPMSVPHIDTRVLDGKRVVLFGPFATFSTKFLKNGSLWDLMSSTTTSNVMPMMHVGLDNFDLVKYLVSQVMLSEEDRFEALKEYYPQAKKEDWRLWQAGQRVQIIKRDAEKGGVLRLGTEVVSDQQGTIAALLGASPGASTAAPIMLDLLEKVFGDRVSSPQWQATLKAIVPSYGRKLNGDVAATERELQYTSEVLGLKYDKPQAADSTPKPQLKPKPVQKEVADIAL