P9WJI1 AF NFT

Probable ferredoxin/ferredoxin--NADP reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib2wifeoul6kxhrjaam7kgvdhkdmbqw2iqgrkrr5hbb5ibjkk3fgq/metadata.json
IPFS of structure file: 
bafybeicaxz3jqwvcet3ugg756wjdb2pjjdtkbo3fah7rnf7zl74vhfffbe/AF-P9WJI1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x99b776DEB2a7E235736ca77F71997f7A305AC803
First NFT owner address (bech32): 
genesis1nxmhdh4j5l3r2umv5alhrxtl0gc94jqrv7t5qn
Current NFT ID #135787 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
135787
Accession (UniProt):
P9WJI1
Name::
Probable ferredoxin/ferredoxin--NADP reductase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WJI1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJI1|FPRB_MYCTU Probable ferredoxin/ferredoxin--NADP reductase OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=fprB PE=1 SV=1 MPHVITQSCCNDASCVFACPVNCIHPTPDEPGFATSEMLYIDPVACVDCGACVTACPVSAIAPNTRLDFEQLPFVEINASYYPKRPAGVKLAPTSKLAPVTPAAEVRVRRQPLTVAVVGSGPAAMYAADELLVQQGVQVNVFEKLPTPYGLVRSGVAPDHQNTKRVTRLFDRIAGHRRFRFYLNVEIGKHLGHAELLAHHHAVLYAVGAPDDRRLTIDGMGLPGTGTATELVAWLNGHPDFNDLPVDLSHERVVIIGNGNVALDVARVLAADPHELAATDIADHALSALRNSAVREVVVAARRGPAHSAFTLPELIGLTAGADVVLDPGDHQRVLDDLAIVADPLTRNKLEILSTLGDGSAPARRVGRPRIRLAYRLTPRRVLGQRRAGGVQFSVTGTDELRQLDAGLVLTSIGYRGKPIPDLPFDEQAALVPNDGGRVIDPGTGEPVPGAYVAGWIKRGPTGFIGTNKSCSMQTVQALVADFNDGRLTDPVATPTALDQLVQARQPQAIGCAGWRAIDAAEIARGSADGRVRNKFTDVAEMLAAATSAPKEPLRRRVLARLRDLGQPIVLTVPL