Q6N423 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifvl5n3mzkg75nahavvfftzzcclffkcewlajr2iqsg6vmpxv3x6xy/metadata.json
IPFS of structure file: 
bafybeihxmfzuoxtyiqcb2jb3ejlkl2vjxwde5dpsv6fdbb5adjj7lt5hz4/AF-Q6N423-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1Ce155A2258661A2eA50795DE5b0318ee956a5A1
First NFT owner address (bech32): 
genesis1rns4tg39ses696js09w7tvp33m54dfdpvaghpx
Current NFT ID #102761 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102761
Accession (UniProt):
Q6N423
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
RHODOPSEUDOMONAS PALUSTRIS (STRAIN ATCC BAA-98 / CGA009)

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 Q6N423 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6N423|DNLJ_RHOPA DNA ligase OS=Rhodopseudomonas palustris (strain ATCC BAA-98 / CGA009) OX=258594 GN=ligA PE=3 SV=2 MTAKTKPAPDIATLTKPKAKVELMRLRLEIEGHDKAYYQDDAPKISDADYDALRRRLEAIEQKFPELVNASSPTQTVGAAPARGFAKVQHAVPMLSLGNAFADDEVAEFALRVQRFLKLDDVPAIVAEPKIDGLSLSLRYENGELVRAATRGDGFTGEDVTANVRTIKDVPNTLKGKHIPATCELRGEVYMLKQDFLALNKRQEEANETVFANPRNSAAGSLRQKDVTVTASRPLKFFAYAWGEMSDYPMEEPTQHKMLQWLDHAGFVVNPEITLCHSVEDALAFYRRIGEKRASLPYDIDGVVYKVDRLDYQERLGFVSRSPRWAIAHKFAAEQATTVLEKIDIQVGRTGAMTPVARLQPVTVGGVVVQNATLHNEDYIKGIGNDGEPIRDGVDIREGDTVVVQRAGDVIPQIVSVVMEKRPAGAEPYHFPHKCPVCGSHAVREEGEAVWRCTGALICPAQAVERLKHFVSRLAFDIDGLGEKQIELFHERGWVQEPADIFTLKARNAELKLEQLEGYGETSVRNLFAAIDARRSIELHRLVFALGIRHVGEGNAKLLARHYGTLDAFLSAMRAAADAQTEEGNTSEAYQDLDNIAGIGDVVAEAVVEFFAEERNIKALDALLAELTEVLPAEQARRDTAVAGKTVVFTGSLSKFTRDEAKAAAERLGAKVAGSVSKKTDYVVAGEDAGSKLTKAKDLGVTVLTEDEWLALIGN