P9WJI0 AF NFT

Probable ferredoxin/ferredoxin--NADP reductase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid6iujnlapvawjh2kwsggx2vlzsak7c6pnb6zeellzvu6vwxgqv34/metadata.json
IPFS of structure file: 
bafybeick6adg22kq4oj57qe6lpzs4r6kbts3n5qp4fcfl2vj7wy4fuzx6y/AF-P9WJI0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBF0D2e107Ce1EcD2C4369B042274201DB719AaAF
First NFT owner address (bech32): 
genesis1huxjuyruu8kd93pknvzzyapqrkm3n240z6jrgl
Current NFT ID #135786 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
135786
Accession (UniProt):
P9WJI0
Name::
Probable ferredoxin/ferredoxin--NADP reductase
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WJI0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WJI0|FPRB_MYCTO Probable ferredoxin/ferredoxin--NADP reductase OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=fprB PE=3 SV=1 MPHVITQSCCNDASCVFACPVNCIHPTPDEPGFATSEMLYIDPVACVDCGACVTACPVSAIAPNTRLDFEQLPFVEINASYYPKRPAGVKLAPTSKLAPVTPAAEVRVRRQPLTVAVVGSGPAAMYAADELLVQQGVQVNVFEKLPTPYGLVRSGVAPDHQNTKRVTRLFDRIAGHRRFRFYLNVEIGKHLGHAELLAHHHAVLYAVGAPDDRRLTIDGMGLPGTGTATELVAWLNGHPDFNDLPVDLSHERVVIIGNGNVALDVARVLAADPHELAATDIADHALSALRNSAVREVVVAARRGPAHSAFTLPELIGLTAGADVVLDPGDHQRVLDDLAIVADPLTRNKLEILSTLGDGSAPARRVGRPRIRLAYRLTPRRVLGQRRAGGVQFSVTGTDELRQLDAGLVLTSIGYRGKPIPDLPFDEQAALVPNDGGRVIDPGTGEPVPGAYVAGWIKRGPTGFIGTNKSCSMQTVQALVADFNDGRLTDPVATPTALDQLVQARQPQAIGCAGWRAIDAAEIARGSADGRVRNKFTDVAEMLAAATSAPKEPLRRRVLARLRDLGQPIVLTVPL