Q03QY6 AF NFT

ATP synthase subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxopljar7u7mndcs46frsjrpb7a4tqkclxoowrhrurpenesjfepu/metadata.json
IPFS of structure file: 
bafybeieimqwlgzei4buh4qwnokmli263zbufflkoebhjkfjfxfspb6smn4/AF-Q03QY6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6F1477A7ba7b4D12E5dE4da4526a61F2AFaa8749
First NFT owner address (bech32): 
genesis1du280fa60dx39ew7fkj9y6np72h64p6f44g6my
Current NFT ID #33450 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
33450
Accession (UniProt):
Q03QY6
Name::
ATP synthase subunit alpha
Experimental Method:
Predicted structure
Sequence source:
Levilactobacillus brevis (strain ATCC 367 / BCRC 12310 / CIP 105137 / JCM 1170 / LMG 11437 / NCIMB 947 / NCTC 947)

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 Q03QY6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03QY6|ATPA_LEVBA ATP synthase subunit alpha OS=Levilactobacillus brevis (strain ATCC 367 / BCRC 12310 / CIP 105137 / JCM 1170 / LMG 11437 / NCIMB 947 / NCTC 947) OX=387344 GN=atpA PE=3 SV=1 MSIKAEEISALIKQQLESYQDEISVEETGTVTYVGDGVARAHGLNNALQGELLLFDNGVYGMVQNLEASDVGIVILGDFTGITEGDTVKRTGRIMEVPVGDQLIGRVVNPLGQAIDGKGDISTDKTRPIEHKAPGVMDRQGVSEPLQTGIKAIDALVPIGRGQRELIIGDRKTGKSSIAIDTIINQKDQDMICIYVAIGQKASTVRAQVSTLEKFGAMDYTIVVTASPSEPAPMLYIAPYAGAAMGEEFMHNGKHVLIVYDDLTKQADAYRELSLILRRAPGREAYPGDIFYTHSRLLERAAKLNDELGGGSMTALPVIETKAGDVSAYIPTNVISITDGQIFLNSDSFYSGVRPAMDAGTSVSRVGGDAQIKAMKKVAGTLRLDLSAYKELESFAQFGSDLDAATQARLARGERTVEVLKQGLHESVPVAKEVIILFALTHGHLDKLEVADVLRYQNELFDYMDASHKDLEDSITTTGNLPEGNTLEDAIKEFDGMFQPTAKADDTAAQTAD