Q8FZQ3 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaq6grcmxtidb65zaxgkmtllej4ct2v5bwgbglvzkq26api5tmfsa/metadata.json
IPFS of structure file: 
bafybeigyhz4t7lobdiagr5htmtjbpaxhbawz32qqiq5zqvt55xlst7x67a/AF-Q8FZQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe43F7D915A24c96B1cDb67a04105E34989DbaA45
First NFT owner address (bech32): 
genesis1uslhmy26ynykk8xmv7syzp0rfxyah2j9uhg8sr
Current NFT ID #102321 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102321
Accession (UniProt):
Q8FZQ3
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
BRUCELLA SUIS BIOVAR 1 (STRAIN 1330)

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 Q8FZQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8FZQ3|DNLJ_BRUSU DNA ligase OS=Brucella suis biovar 1 (strain 1330) OX=204722 GN=ligA PE=3 SV=1 MSDISVEKLTELEAAAELERLARAIAHHDELYHAKDRPEISDAAYDALKRRNEAIEAHFPALVRDDSPSRRVGAAPALATFAPVVHARPMLSLDNAFSDEDVRDFVGSVYRFLGQLPDDSIAFTAEPKIDGLSMSIRYENGILVSGATRGDGTTGENVTANIRTIAEIPNRLPAGAPAVVEVRGEVYMAKSDFLTLNAQMEAEGKQTYVNPRNTAAGSLRQLDAKVTASRKLRFFAYAWGEMSDMPADTQLGMVEVFRQWGFPVNPLMKRFNSVDGLLAHYRAIGMERPTLDYDIDGVVYKVDRLDLQTRLGFRSRSPRWAIAHKFPAEQALTILRGIDIQVGRTGALTPVARLEPITVGGVVVTNATLHNEDYIKGIGQKGEPIREGRDIRIGDSVIVQRAGDVIPQIVDVVLEEGKKRGEPYQFPHVCPACGSHAVREEGEAVRRCTGGLICPAQAVERIRHFVSRNAFDIEGLGEKQVEFFFNAEDPALCIRSPADIFTLKKRQENSLTKLQNIEGFGATSVKKLYDAIDARREIALHRFLFGLGIRHVGEVNAKRLARAYLSYAAFEKAALEAVPPKEGDRTDKGSEAWQDMLAVEGIGSIVAEAVVDFYGEPHNREVLAALLAEVTPLDEEARVATGSPVEGKTVVFTGSLERMSRDEAKAMAERHGAKTAGSVSKKTDLVVAGPGAGSKLAKATELGIEVINEDDWFKLVGED