P9WIQ2 NADPH-ferredoxin reductase FprA MolNFT, Molecular NFT on GenesisL1

NADPH-ferredoxin reductase FprA

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihsjrfcu2w35qimt54os5amhikvd5fonibdqxkc4cdiv32lohar7u/metadata.json

IPFS of structure file:

bafybeihskd3tcdwjxvpswoong3smx2kau35cx4k6qamsv2vjfcolow5e4u/AF-P9WIQ2-F1-model_v2.pdb

First NFT owner address (eip-55):

0xfeb345Ece1971a4257a3B461d11338Fff1EA9688

First NFT owner address (bech32):

genesis1l6e5tm8pjudyy4ark3sazyecllc7495gg4f3em

Current NFT ID #135780 owner (web3):

0x9188600a0FCa2914254C94299b1bd9721Bc4D500

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
135780
Accession (UniProt):
P9WIQ2
Name::
NADPH-ferredoxin reductase FprA
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 P9WIQ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WIQ2|FPRA_MYCTO NADPH-ferredoxin reductase FprA OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=fprA PE=3 SV=1 MRPYYIAIVGSGPSAFFAAASLLKAADTTEDLDMAVDMLEMLPTPWGLVRSGVAPDHPKIKSISKQFEKTAEDPRFRFFGNVVVGEHVQPGELSERYDAVIYAVGAQSDRMLNIPGEDLPGSIAAVDFVGWYNAHPHFEQVSPDLSGARAVVIGNGNVALDVARILLTDPDVLARTDIADHALESLRPRGIQEVVIVGRRGPLQAAFTTLELRELADLDGVDVVIDPAELDGITDEDAAAVGKVCKQNIKVLRGYADREPRPGHRRMVFRFLTSPIEIKGKRKVERIVLGRNELVSDGSGRVAAKDTGEREELPAQLVVRSVGYRGVPTPGLPFDDQSGTIPNVGGRINGSPNEYVVGWIKRGPTGVIGTNKKDAQDTVDTLIKNLGNAKEGAECKSFPEDHADQVADWLAARQPKLVTSAHWQVIDAFERAAGEPHGRPRVKLASLAELLRIGLG

P9WIQ2 AF NFT

MOLNFT AF v1

NFT data

MOLNFT P9WIQ2 research and analysis (ICN3D with VR)

FASTA sequences

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