Q9QXG4 AF NFT

Acetyl-coenzyme A synthetase, cytoplasmic

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeife3etnjxodrqmsbrlzeqed6q4tuqqhcc2wxfznpbfuou3kd3l5oa/metadata.json
IPFS of structure file: 
bafybeia3ktiqhqwgt63j3qb6d7j777znbnfdludvhp3kuabstnkqahwtv4/AF-Q9QXG4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x30B952aA314C16e7020EFc11218c96015a3228B3
First NFT owner address (bech32): 
genesis1xzu49233fstwwqswlsgjrrykq9dry29nw0fnv7
Current NFT ID #7998 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
7998
Accession (UniProt):
Q9QXG4
Name::
Acetyl-coenzyme A synthetase, cytoplasmic
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9QXG4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9QXG4|ACSA_MOUSE Acetyl-coenzyme A synthetase, cytoplasmic OS=Mus musculus OX=10090 GN=Acss2 PE=1 SV=2 MGLPEERRKSGSGSRAREETGAEGRVRGWSPPPEVRRSAHVPSLQRYRELHRRSVEEPREFWGNIAKEFYWKTACPGPFLQYNFDVTKGKIFTEWMKGATTNICYNVLDRNVHEKKLGDKVAFYWEGNEPGETTKITYRELLVQVCQFSNVLRKQGIQKGDRVAIYMPMILELVVAMLACARLGALHSIVFAGFSAESLCERILDSSCCLLITTDAFYRGEKLVNLKELADESLEKCREKGFPVRCCIVVKHLGRAELGMNDSPSQSPPVKRPCPDVQICWNEGVDLWWHELMQQAGDECEPEWCDAEDPLFILYTSGSTGKPKGVVHTIGGYMLYVATTFKYVFDFHPEDVFWCTADIGWITGHSYVTYGPLANGATSVLFEGIPTYPDEGRLWSIVDKYKVTKFYTAPTAIRMLMKFGDDPVTKHSRASLQVLGTVGEPINPEAWLWYHRVVGSQRCPIVDTFWQTETGGHMLTPLPGATPMKPGSASFPFFGVAPAILNESGEELEGEAEGYLVFKQPWPGIMRTVYGNHTRFETTYFKKFPGYYVTGDGCRRDQDGYYWITGRIDDMLNVSGHLLSTAEVESALVEHEAVAEAAVVGHPHPVKGECLYCFVTLCDGHTFSPTLTEELKKQIREKIGPIATPDYIQNAPGLPKTRSGKIMRRVLRKIAQNDHDLGDTSTVADPSVINHLFSHRCLTTQ