Q65DX3 ATP synthase gamma chain MolNFT, Molecular NFT on GenesisL1

ATP synthase gamma chain

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeic6dckk2ueqjh6zqvzwlankdfyyxy5txrz7paqntstsagdnkg4d5y/metadata.json

IPFS of structure file:

bafybeicvqwxivdmn2hb46334laphcazoz2xkjbtivkdrbcxsjqqzpmgw5m/AF-Q65DX3-F1-model_v2.pdb

First NFT owner address (eip-55):

0x6E138F720841B81f7c5e242C5f6b118D77314805

First NFT owner address (bech32):

genesis1dcfc7usggxup7lz7ysk976c334mnzjq92tmqca

Current NFT ID #37460 owner (web3):

0x6E138F720841B81f7c5e242C5f6b118D77314805

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
37460
Accession (UniProt):
Q65DX3
Name::
ATP synthase gamma chain
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65DX3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65DX3|ATPG_BACLD ATP synthase gamma chain OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=atpG PE=3 SV=1 MASLRDIKSRIASNKKMSQITKAQEMVSASKLNRAENKAKSFVPYMEKMQEVVADIAVGYTGKHPMMSSRPVKRTGYLVITADRGLAGAFNANVLRKAYQRIQERHQSKDEYAVIAVGRMGRDFFKKRGIPVISEMTGIRDEVTFSEIKDLANSTVQMYIDETFDELYLFYNHFVSAISQEVTEKKLLPLTDIAPNKKKTSFEFEPDEEEILEVLLPQYAESLIFGALLDSKASEHAARMTAMRNATDNAKEIIADLELSYNRARQASITQEITEIVGGAAALE

Q65DX3 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q65DX3 research and analysis (ICN3D with VR)

FASTA sequences

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