Q8XY11 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihdjcvi7klvbdoo2qqcr75xgpu2fxppq4wi2ddzi762dyctnlz2xi/metadata.json
IPFS of structure file: 
bafybeihb47xgq3pxzhbgtu424me5oqujffkqaz2ny7emgd5734kj22biye/AF-Q8XY11-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB0528e6B785661f8478d3407b5BBb95a745eCE95
First NFT owner address (bech32): 
genesis1kpfgu6mc2esls3udxsrmtwaetf69an5486z8ck
Current NFT ID #8028 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
8028
Accession (UniProt):
Q8XY11
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
Ralstonia solanacearum (strain GMI1000)

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 Q8XY11 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8XY11|ACSA_RALSO Acetyl-coenzyme A synthetase OS=Ralstonia solanacearum (strain GMI1000) OX=267608 GN=acsA PE=3 SV=1 MAGIESVLQETRVFEPPASFVKQANIAGMDAYRTLCAEAERDYEGFWARLAHEHLLWHKPFSKVLDESRAPFYTWFEDGELNASYNCLERNLENGNADKVAVIFEADDGSVARITYRELHARVCRFANGLKALGIRKGDRVVIYMPMSIEGVVAMQACARIGATHSVVFGGFSAKSLQERIVDVGAVAVITADEQMRGGKALPLKAIADEALAMEGSEAVRHVIVYRRTGAGVNWVEGRDRAMDEVEAGQPDTCEVTPVGAEHPLFILYTSGSTGKPKGVQHSTGGYLLWALLTMQWTFDLKPDDVFWCTADIGWVTGHTYIAYGPLAAGATQVVFEGVPTYPNAGRFWDMIQKHRVNTFYTAPTAIRSLIKAAEADETSHPKRYDLSSLRLLGTVGEPINPEAWMWYHTNIGGGRCPIVDTFWQTETGGHMISPLPGATPLVPGSCTLPLPGIMAAIVDETGQDLPDGQGGILVVKRPWPAMIRTIWGDPERFRKSYFPAELGGKLYLAGDGSVRDKETGYFTIMGRIDDVLNVSGHRMGTMEIESALVANPLVAEAAVVGRPDDMTGEAICAFVVLKRTRPNGDEARQIATDLRNWVGKEIGPIAKPKDIRFGDNLPKTRSGKIMRRLLRSIAKGEDITQDTSTLENPAILEQLKEAR