Q15YI8 AF NFT

Acetyl-coenzyme A synthetase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif2vazyfv7ozathrktsc7kzfchmyugwvxoklyi43fng52n6xlmroq/metadata.json
IPFS of structure file: 
bafybeifrdqn56ci7pgfizjro72m5gvyxqzs5wv5zhmo4xo7vgepo53l2me/AF-Q15YI8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA2DE07e86E532FF47B5d470f3bF914a5B7AafF8c
First NFT owner address (bech32): 
genesis15t0q06rw2vhlg76agu8nh7g55km64luv9vp4e5
Current NFT ID #8017 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
8017
Accession (UniProt):
Q15YI8
Name::
Acetyl-coenzyme A synthetase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOALTEROMONAS ATLANTICA (STRAIN T6C / ATCC BAA-1087)

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 Q15YI8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q15YI8|ACSA_PSEA6 Acetyl-coenzyme A synthetase OS=Pseudoalteromonas atlantica (strain T6c / ATCC BAA-1087) OX=342610 GN=acsA PE=3 SV=1 MSQQIYPVPAHAKEHSHLTPADYARMYAESVEQPEVFWAEQAKSLDWVKTPTKIKNTSFDAHHVSIKWFEDGELNVAYNCIDRHLAKRGHVTAFIWEGDDPHSHDIITYHRLHDEVAKIANGLRKLGVGKGDRVAIYMPMIPQAVYAMLACARIGAVHTVIFGGFSPNAIADRVNNCQAKVLITADEGLRAGKHIPLKDNVDTALAEHDCPSMEQVIVFKHTGSHVSWGKDDVWWHDLTDGCSTDCPPEVMNAEDPLFILYTSGSTGQPKGVVHTTGGYLLWASITHKYVFDYKPGDIYWCAADVGWVTGHSYIVYGPLANGATSVMFEGVPTYPDVRRIGQIVDKHKVNILYTAPTAIRALMAHGDFPTEGISGESLRLLGSVGEPINPEAWHWYYTTVGQSRCPIVDTWWQTETGAAMLTPLPSVTAMKPGAASHPFFGVQPALVDGQGNELSGATEGNLIITDSWPGQARTVYGDHERFVQTYFTTYPGTYCTGDGARRDEDDYFWITGRVDDVLNVSGHRLGTAEIESALVSHNAVAEAAVVGYPHDLKGQGIYVYLMPNEGVEITDELTKEVSNWVRKELSPIATPDLIQWSSGLPKTRSGKIMRRILRKIAANEYEQLGDTSTLADPSVVDTLIEQRLNR