Q4UN15 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibs67kri4hcp3cd6ve74ycfxuitummu3pgx27nosecndg76jjzwfu/metadata.json
IPFS of structure file: 
bafybeihu6kn5wovuctse7wzbizzdmnyrklsuzejqt6ygxda3bpm3ys4ccm/AF-Q4UN15-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEc4C90d408De7142a2936ac29701e3ce1373d0a4
First NFT owner address (bech32): 
genesis1a3xfp4qgmec59g5ndtpfwq0recfh859yhszxwj
Current NFT ID #102772 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102772
Accession (UniProt):
Q4UN15
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Rickettsia felis (strain ATCC VR-1525 / URRWXCal2)

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 Q4UN15 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4UN15|DNLJ_RICFE DNA ligase OS=Rickettsia felis (strain ATCC VR-1525 / URRWXCal2) OX=315456 GN=ligA PE=3 SV=2 MQNIDLISEEEAKKLLEELADKIAAYNHAYYIEDNPLVSDSEYDQLFNTNLKLEQKFPHLVLENSPSKKIGAKITNKFAKITHQIPMLSLSNAFDEQDVRDFVDRIKNFLRLDEFAPIFCEPKIDGLSFSAIYKNGLLTTGATRGDGYVGEDITANIKTIKNFPHKIDNAPEFLEVRGEIYIEKQDFLNLNKEQEEQGRDKFANPRNAAAGSLRQLDASITAQRSLKYFVYSGGVTEQNLASSQEQLLIKLKEFGFSVNEISKLTNSEEEIFTFYEYLKTNRENLPYEIDGVVYKLNDFALQNRMGFIARSPRFATAHKFPAIIGRTKLLSITVQVGRTGTLTPVAELEPIEIGGVTVSRATLHNFQEIMRKDVRIDDYVFLQRAGDVIPKITGVDIGKRPNDTIAFDTPLFCPSCNSKLHYAPEDIIIRCDNGLNCPAQNYERIRHFVSKNAMDIEGLGRKQVEFLIDKGLISNPLDIFFLKEKNDSSLTKLENMDGWGKKSVENLFKNIEQSKNVSLPRFIYALGIRHIGEQNAKLLAREFGSYANFIAQMELLSKNDLDIYQKLNDLEGIGDKILVDIIDFFDVKENTTLIKKLGEVLNIEDYKETREQSSLTGKIIVFTGSLPTISRAEAKATAEKLGAKVAASVSSNTDLVVAGVDAGSKLKKAKELNIKIIGEEEWLTLIKNV