Q82J82 AF NFT

ATP synthase subunit alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifcn4s666ott3qjtlbir74iid3gee5laxo3yxxhgxfszfarncmihy/metadata.json
IPFS of structure file: 
bafybeifen3r4ynu6ska5sql74qwvaz6rsxqmtm6xzoig24xfb7kc5eys4e/AF-Q82J82-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7668FFA4b072bCED36311537cB110Dc7DA447677
First NFT owner address (bech32): 
genesis1we50lf9sw27w6d33z5mukygdcldyganhe885lq
Current NFT ID #33772 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
33772
Accession (UniProt):
Q82J82
Name::
ATP synthase subunit alpha
Experimental Method:
Predicted structure
Sequence source:
STREPTOMYCES AVERMITILIS (STRAIN ATCC 31267 / DSM 46492 / JCM 5070 / NBRC 14893 / NCIMB 12804 / NRRL 8165 / MA-4680)

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 Q82J82 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q82J82|ATPA_STRAW ATP synthase subunit alpha OS=Streptomyces avermitilis (strain ATCC 31267 / DSM 46492 / JCM 5070 / NBRC 14893 / NCIMB 12804 / NRRL 8165 / MA-4680) OX=227882 GN=atpA PE=3 SV=1 MAELTIRPEEIRDALENFVQSYKPDAASREEVGTVTVAGDGIAKVEGLPSAMANELLKFEDGTLGLALNLEEREIGAVVLGEFSGIEEGQPVHRTGEVLSVAVGEGYLGRVVDPLGNPIDGLGEIETSGRRALELQAPTVMDRKSVHEPMETGYKAVDAMTPIGRGQRQLIIGDRQTGKTALAVDTIINQRDNWRTGDPKKQVRCIYVAIGQKGSTIASVRGALEEAGALEYTTIVAAPASDPAGFKYLAPYTGSAIGQQWMYEGKHVLIIFDDLSKQADAYRAVSLLLRRPPGREAYPGDVFYLHSRLLERCAKLSDDMGAGSMTGLPIVETKANDVSAFIPTNVISITDGQCFLESDLFNAGQRPALNVGISVSRVGGSAQHKAMRQVSGRLRVDLAQFRELEAFAAFGSDLDAASKSQLERGQRMVELLKQAQYQPMPTEDQVVSVWAGTTGKMDDVPVADIRRFEKELLEFLHRKYQGLMTSIKEGAKMSDDTLTAIADAIADFKKQFETSDGKLLGEDVPAAGK