Q9I3H5 AF NFT

Baeyer-Villiger monooxygenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiawb7wldibqdsjgvzna3fbiq5c3itlcdfidhnwubxhlrdwmid3224/metadata.json
IPFS of structure file: 
bafybeiayrhlcpqx6aqtgctvta2bxynys4w7vic4qbomjzcbffheyiolxfu/AF-Q9I3H5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbB9927F4f7DAfE03D0B102EF0E3c7eA9c95b66ca
First NFT owner address (bech32): 
genesis1hwvj0a8hmtlq8593qthsu0r748y4kek2r3xntn
Current NFT ID #47381 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
47381
Accession (UniProt):
Q9I3H5
Name::
Baeyer-Villiger monooxygenase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9I3H5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9I3H5|BVMO_PSEAE Baeyer-Villiger monooxygenase OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=PA1538 PE=1 SV=1 MYTPANNHNRSLAMSTQPTPAAARHCKVAIIGTGFSGLGMAIRLRQEGEDDFLIFEKDAGVGGTWRVNNYPGCACDVQSHVYSFSFEANPEWTRMFARQPEIRAYLEKCWEKYRLQEKTLLNTEIGKLAWDERQSLWHLHDAQGNHYTANAVVSGMGGLSTPAYPRLDGLENFQGKVFHSQQWDHDYDLKGKRVAVIGTGASAIQFVPEIQPLVAALDLYQRTPPWILPKPDRAISETERRRFRRFPLVQKLWRGGLYSLLEGRVLGFTFAPQVMKLVQRLAIRHIHKQIKDPELRRKVTPDYTIGCKRILMSHNYYPALAAANSTVITEGIRAVTANGIVDGNGREREVDAIIFGTGFTANDPIPRGVVFGRDGRDLLDSWSKGPEAYKGTTTAGFPNLFFLMGPNTGLGHNSMVYMIESQIAYVLDALKLMKRRELLSLEVKAPVQERYNEYLQRKLDRSVWSVGGCKSWYLHPVSGRNCTLWPGFTWRFRALTRQFDASAYHLTTTPLAALSNEARQQAEGVPA