Q79VG7 AF NFT

ATP synthase subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeickkpod5ka6qz7qwwgzfncazxsf3d2a3ax3mbdwoxc26fjw3ahyou/metadata.json
IPFS of structure file: 
bafybeibucf4g4ntahm7y3mrnlzergkw7nv3y2ta6zkzb4xg7o4fn4ozpni/AF-Q79VG7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7782F4817b37743d738e9aF842bf74bd50f2015E
First NFT owner address (bech32): 
genesis1w7p0fqtmxa6r6uuwntuy90m5h4g0yq27nqe34a
Current NFT ID #33254 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
33254
Accession (UniProt):
Q79VG7
Name::
ATP synthase subunit alpha
Experimental Method:
Predicted structure
Sequence source:
Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025)

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 Q79VG7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q79VG7|ATPA_CORGL ATP synthase subunit alpha OS=Corynebacterium glutamicum (strain ATCC 13032 / DSM 20300 / BCRC 11384 / JCM 1318 / LMG 3730 / NCIMB 10025) OX=196627 GN=atpA PE=3 SV=1 MAELTISSDEIRSAIANYTSSYSAEASREEVGVVISAADGIAQVSGLPSVMANELLEFPGGVIGVAQNLEADRVGVVVLGNYELLKEGDQVRRTGDVLSIPVGEAFLGRVINPLGQPIDGLGEIASEEDRVLELQAPTVLERQPVEEPLATGIKAIDAMTPIGRGQRQLIIGDRKTGKTAVCVDTILNQKANWETGDKTKQVRCIYVAIGQKGSTIAALRKTLEEQGALEYTTIVAAPASDAAGFKWLAPFAGAALAQHWMYQGNHVLVIYDDLTKQAEAYRAISLLLRRPPGREAYPGDVFYLHSRLLERAAKLSDELGAGSITALPIIETKANDVSAFIPTNVISITDGQVFLESDLFNRGVRPAINVGVSVSRVGGAAQTKGMKKVAGSLRLDLAAFRDLEAFATFASDLDAASKSQLERGQRLVQLLIQSENAPQAVEYQIISLWLAGEGAFDNVPVEDVRRFESELHEYLGSNAAQVYEQIAGGAQLSDESKETLLKATEDFKSAFQTTDGTPVINEPEVEALDAGQVKKDQLTVSRKVSKK