Q65HN9 AF NFT

NADPH dehydrogenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihwibt7spb52pg7xddks4dubskafe5i3mi22rvjtd5qr5g2li4z5e/metadata.json
IPFS of structure file: 
bafybeifl7ix2nockkyflo5ioppeps77jhec4pp6uy3tqapyno26oruvtuq/AF-Q65HN9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x85B6B478711D4a6F442F2c82D8D795D37aDC473d
First NFT owner address (bech32): 
genesis1skmtg7r3r49x73p09jpd34u46dadc3eanx06w9
Current NFT ID #258704 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
258704
Accession (UniProt):
Q65HN9
Name::
NADPH dehydrogenase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65HN9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65HN9|NAMA_BACLD NADPH dehydrogenase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=namA PE=3 SV=1 MSNRKLFTPWSLKGVTLKNRIVMSPMCMYSSHEKDGKVQPFHMTHYISRAVGQVGLIMVEATAVTPQGRISDQDLGIWDDAHIDGLAALTSQIKTYGSKTAIQLAHAGRKAEVEGTIYGPSAIPFDENSRTPVEMTKEDIKETVQAFKKGAERAKAAGFDIIEIHGAHGYLINEFLSPLSNKREDEYGGSPENRYRLLREVIDAVKEVWAGPLFVRVSASDYKTKGLDVADYVGFAKWMKEQGVDLIDVSSGAVVPADINVFPGYQVGFADTIRAQAEIQTGAVGLITSGLQAEEILQNGRADLIFVARELLRDPYWPKTAAKQLNTKIEGPVQYDRAW