Q822R2 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihzhygpvgoxcomoph3cye4bccsor2qt5xwki3vvtxvb34cibawz2u/metadata.json
IPFS of structure file: 
bafybeidrnv6seokjo4snr47vsst65subvhyc3uthttcom2fdaxpkavphim/AF-Q822R2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE6b4ea21D372D340a7cAd6E4806bbdE68dcB1DDF
First NFT owner address (bech32): 
genesis1u66w5gwnwtf5pf726mjgq6aau6xuk8wles7zef
Current NFT ID #102372 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102372
Accession (UniProt):
Q822R2
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Chlamydia caviae (strain ATCC VR-813 / DSM 19441 / 03DC25 / GPIC)

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 Q822R2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q822R2|DNLJ_CHLCV DNA ligase OS=Chlamydia caviae (strain ATCC VR-813 / DSM 19441 / 03DC25 / GPIC) OX=227941 GN=ligA PE=3 SV=1 MESMYSREQYLSLCKELEKDDYCYYVLHNAVISDYDYDMKMQKLLAIEAQHPEWKVLWSPSMRLGDRVSGNFPVVAHSHPMLSIANAYTLEELNDFFSRVEKTLGYAPIYTLELKIDGIAVAIRYEQGILVQALSRGNGQKGEDITANIRTIRSLPLRLPKDAPEFLEVRGEVFFKRETFEQINAAQRQAEKPEFANPRNAAGGTLKLLSAKEAAQRNLELSVYGSLSDENTESHYDNLMLCKRWGFPIFGQPRQCQTIAEVVKSLDEIEGLRDQLPMEIDGVVIKVDDVEAQKALGMTAKHYRWALAYKYAPERAETILENILIQVGRTGVLTPVAKLSPVFLSGSRVSRASLYNEEEIERKDIRIGDTVYVEKGGEIIPKVVGVCLEKRPEGTQPWVMPEFCPVCHGKVTRESDKVSVRCTNPLCSAGAIEKIRFFVGRGALDIDHLGEKVITKLFDLGVIHRCCDIFKITEEDLLQVPGFKDKSVKNVLKSIEKAKQAPLDRFIAALGIPYVGVRVASALAQHFLNLEAVMGASLEELKSIEGIGDKVAESIEAYFNQQDTIEEIQKMLSLGVNVLPYHRESSSCLGKTFVITGTLKKMTRSEAEASIRNCGGKVGSSVSKSTDYLVVGEDPGSKFKKAQELEIPILNENDLLKILYPN