Q3J433 AF NFT

ATP synthase subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihovvjpwl2skgi3appdhtbknbytujha5zdo5pig3xes6rqadbjluu/metadata.json
IPFS of structure file: 
bafybeiel5jr567ggdz4zradaumsmpkizvfta5sant7cojez4oe7p5plhsa/AF-Q3J433-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD0981d4D1F3f2aFEab3dA1D957bBE7587dbAccd3
First NFT owner address (bech32): 
genesis16zvp6ngl8u40a2ea58v40wl8tp7m4nxnqgmuaz
Current NFT ID #33204 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
33204
Accession (UniProt):
Q3J433
Name::
ATP synthase subunit alpha
Experimental Method:
Predicted structure
Sequence source:
Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.)

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 Q3J433 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3J433|ATPA_CERS4 ATP synthase subunit alpha OS=Cereibacter sphaeroides (strain ATCC 17023 / DSM 158 / JCM 6121 / CCUG 31486 / LMG 2827 / NBRC 12203 / NCIMB 8253 / ATH 2.4.1.) OX=272943 GN=atpA PE=3 SV=1 MGIQAAEISAILKEQIKNFGQQAEVAEVGRVLSVGDGIARVHGLDNVQAGEMVEFPGGIRGMALNLEVDNVGVVIFGDDRSIKEGDTVKRTKSIVDVPAGDALLGRVVDGLGNPIDGKGPIAATERRVADVKAPGIIPRKGVHEPMATGLKSVDAMIPIGRGQRELIIGDRQTGKTAIALDTILNQKSYNEAAGDDESKKLYCIYVAIGQKRSTVAQLVKKLEETGAIDYTLVVAATASDPAPMQFLAPYAATAMAEYFRDNGRHALIIYDDLSKQAVAYRQMSLLLRRPPGREAYPGDVFYLHSRLLERSAKLNKDHGAGSLTALPIIETQGGDVSAFIPTNVISITDGQIFLETELFYQGIRPAVNTGLSVSRVGSSAQTDAMKSVAGPVKLELAQYREMAAFAQFGSDLDAATQQLLNRGARLTELMKQPQYAPLTNAEIVCVIFAGTKGYLDKVPVKDVGRWEQGLLKHLRTNAKDLLADITNNDRKVKGELEDKIRAALDTYAKDFA