A8HS15 AF NFT

ATP synthase subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiewpz7lnywiv6wkg63pj6bxafvwqs4crwsiwcuwk6knttpvgwteha/metadata.json
IPFS of structure file: 
bafybeibex4ewcnqupcsfob2r5ohpztljgzsrbts53ulhojs3bqx6xhi5te/AF-A8HS15-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x765870ac5257bbcCF1F57218cfD50ce0Fa6D0e54
First NFT owner address (bech32): 
genesis1wev8ptzj27aueu04wgvvl4gvurax6rj5hxcg8m
Current NFT ID #33101 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
33101
Accession (UniProt):
A8HS15
Name::
ATP synthase subunit alpha
Experimental Method:
Predicted structure
Sequence source:
Azorhizobium caulinodans (strain ATCC 43989 / DSM 5975 / JCM 20966 / LMG 6465 / NBRC 14845 / NCIMB 13405 / ORS 571)

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 A8HS15 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A8HS15|ATPA_AZOC5 ATP synthase subunit alpha OS=Azorhizobium caulinodans (strain ATCC 43989 / DSM 5975 / JCM 20966 / LMG 6465 / NBRC 14845 / NCIMB 13405 / ORS 571) OX=438753 GN=atpA PE=3 SV=1 MDIRAAEISAILKEQIQNFGREAEVSEVGQVLSVGDGIARVYGLDNVQAGEMVEFENGTRGMALNLEIDNVGVVIFGSDRDIKEGQTVKRTGAIVDVPVGRGLLGRVVDALGNPIDGKGPIEATERRRVDVKAPGIIPRKSVHEPMQTGLKAIDALIPIGRGQRELIIGDRQTGKTAVALDAILNQKPLNVAGAPESQKLYCVYVAVGQKRSTVAQFVKVLEEQGALEYSIVVAATASDPAPMQFLAPFAGTAMGEYFRDNGMHALIIHDDLSKQAVAYRQMSLLLRRPPGREAYPGDVFYLHSRLLERAAKLNDENGAGSLTALPVIETQANDVSAYIPTNVISITDGQIFLESDLFYQGIRPAVNVGLSVSRVGSSAQIKAMKQVAGKIKGELAQYRELAAFAQFGSDLDASTQKLLNRGARLTELLKQSQFSPLKVEEQVVVIYAGTNGYLDNLPLNKVREFEAGFLLAMRTQHQDLLDTIRTSKELSKDSIANLTKALDAFAKSFA