Q2NF87 AF NFT

V-type ATP synthase alpha chain

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiciy7xfq2yu2atn2flt5rcmnp2l7s5pb3jrjgnuijkk2kaftv3qmu/metadata.json
IPFS of structure file: 
bafybeihiio2mcq4u53jcb2v5gpu6gmpz76inmgfdprioqzai3wtl7aexmy/AF-Q2NF87-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480
First NFT owner address (bech32): 
genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg
Current NFT ID #495116 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
495116
Accession (UniProt):
Q2NF87
Name::
V-type ATP synthase alpha chain
Experimental Method:
Predicted structure
Sequence source:
Methanosphaera stadtmanae (strain ATCC 43021 / DSM 3091 / JCM 11832 / MCB-3)

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 Q2NF87 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2NF87|VATA_METST V-type ATP synthase alpha chain OS=Methanosphaera stadtmanae (strain ATCC 43021 / DSM 3091 / JCM 11832 / MCB-3) OX=339860 GN=atpA PE=3 SV=1 MITGNIIKIAGPVIIGDGMRGTQIHEMVRVGDIGLIGEIIELEGDTATVQVYEETAGIKPGEKIESTGGPLSVELGPGILKSIYDGIQRPLDEIKSVSGDFIPRGIDVPALDKVKEWEFKPTASVGDKVNGGDIIGTVDETSAIVHKIMIPPKMSGTIKSIVSQGKYNVTEDIAEVETENGIETVQMMQVWPVRVGRPYTNKLDPDVPLITGQRAQDTFFCVAKGGTSAMPGPFGSGKTVTQQQLAKWADADIVVYIGCGERGNEMTEVLTEFPELEDPKTGNPLMDRTVLIANTSNMPVAAREACVYTGITIAEYFRDMGYDVALMADSTSRWAEAMRELSGRLEEMPGEEGYPAYLASRLAQFYERAGRVTTIGSHKAEASVTVVGAVSPPGGDLSEPVTQNTLRIAKVFWALDASLADRRHFPSINWLNSYSLYVDSITNWWNSQIGSDWRDLRNTAMALLQKESELNEIVQLVGPDALPQKDRVTLESARMLREDFLQQNAFDDTDTYCSPSKQYNMLKTILLYNTTAQSALADGADINKLVNLDVRVDLGKMKYIPEDEFEAKVEDIRNRITKECNEAGQ