H6LC32 AF NFT

Na(+)-translocating ferredoxin:NAD(+) oxidoreductase complex subunit C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgo7vx5h6omrbjhoqugfkvzjww4gltotkupd3ms36fgwnjvgr5ue/metadata.json
IPFS of structure file: 
bafybeifsn4o3qnfprgisklkndsglw5izevrlmpktos5guz4g6tmefxqbpe/AF-H6LC32-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x80D2ac0F5e3268bC5C1d28BBAA07E3169BB02b79
First NFT owner address (bech32): 
genesis1srf2cr67xf5tchqa9za65plrz6dmq2me66p797
Current NFT ID #380927 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
380927
Accession (UniProt):
H6LC32
Name::
Na(+)-translocating ferredoxin:NAD(+) oxidoreductase complex subunit C
Experimental Method:
Predicted structure
Sequence source:
ACETOBACTERIUM WOODII (STRAIN ATCC 29683 / DSM 1030 / JCM 2381 / KCTC 1655 / WB1)

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 H6LC32 research and analysis (ICN3D with VR)

FASTA sequences

>sp|H6LC32|RNFC_ACEWD Na(+)-translocating ferredoxin:NAD(+) oxidoreductase complex subunit C OS=Acetobacterium woodii (strain ATCC 29683 / DSM 1030 / JCM 2381 / KCTC 1655 / WB1) OX=931626 GN=rnfC PE=1 SV=1 MNVKHGTFKGGIHPPYRKESTAEVPLGFGKKPEMVIIPMSLHIGAPCTPIVKKGDTVFLGQRVGEPNGFVSVPVHASVSGKVIAVEERPHASGDRVMSVVIESDGLDTIDPSIKPYGTLEDMDADAIKKMVLNAGIVGLGGATFPTHVKLAIPPDKKVDCVVLNGAECEPYLTADHHLMTSQAEKVVMGLKLAMKSVGVEKGFIGVEDNKTDAIEALVKAIGNDSRLEVYSLHTKYPQGAEKQLIAAITGREVPSGALPADAGVVVMNVGTAAQIAESMITGLPLYKRYLTCTGDAIKNPQTIEIRIGVPFQSVIDQCGGFSSEPGKVISGGPMMGVTQFVTDIPVMKGTSGILCLTKESAKIATPSNCIHCGKCVGVCPIHLQPLNIAEYSQRNMWDKCESNNAMDCIECGSCSYICPAKRTLVSSIRVAKREIIAQRRKGN