C1F3N8 AF NFT

ATP synthase subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihgjhjsfpf5injpdf5nbgcir7tj47nalmbsbeoxeax3iqgvsc5lvy/metadata.json
IPFS of structure file: 
bafybeib6ao5qmyvllyz3yj2odyntnarwsrxcouhqgcsf2xl32vtmwtc6xe/AF-C1F3N8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4d07E6a23DeB6B95bd9b90EcB67368b7e8D3B77e
First NFT owner address (bech32): 
genesis1f5r7dg3aad4et0vmjrktvumgkl5d8dm7pxdzfr
Current NFT ID #33047 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
33047
Accession (UniProt):
C1F3N8
Name::
ATP synthase subunit alpha
Experimental Method:
Predicted structure
Sequence source:
Acidobacterium capsulatum (strain ATCC 51196 / DSM 11244 / BCRC 80197 / JCM 7670 / NBRC 15755 / NCIMB 13165 / 161)

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 C1F3N8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C1F3N8|ATPA_ACIC5 ATP synthase subunit alpha OS=Acidobacterium capsulatum (strain ATCC 51196 / DSM 11244 / BCRC 80197 / JCM 7670 / NBRC 15755 / NCIMB 13165 / 161) OX=240015 GN=atpA PE=3 SV=1 MAQIKADEITALLKEQIANYDAKVRVDEVGTVISLGDGIARLHGLDKCMAGEMLEFPHGVYGMAMNLEEDQVGAVLLGDYTEIREGDQVKRTGQILSVPVGDAMIGRVVNSLGEPIDDKGPIAASDRFPVERLAPGVIDRQPVREPMMTGLKAIDSMIPIGRGQRELIIGDRQTGKTAVALDTIINSKGRDLICVYCAIGQKRSSVAGVVQTLAKHGALDYTVVVVASASEPAPMLYLAPYAATAMAEYFRDNGKHALIIYDDLSKHAVAYRELSLLLRRPPGREAYPGDVFYLHSRLLERSSKLSKEKGGGSLTALPIIETQAGDVSAYIPTNVISITDGQIFLETDLFNSGVRPAVNVGLSVSRVGFSAAIKAIKQVGSTLKLDLAQYRDLAAFAQFGSDLDKATQNQLNRGQRLTELLKQPQFQPLSAEQQVMILFAGTQGFLDDIKVPYIRAFEDGLYKYLDASQRQLLNDIATKKALDDELRGRVKDALNEYKQNFLDEHEDARVKSETAQAAGKDKDEKAAATAGAGK