B3QFL8 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabavobgltgag5jnpf5hpafi67o7yi2q3ufzooyvcahqfxthgxurm/metadata.json
IPFS of structure file: 
bafybeihciimmle2hktjrg4cf6dpasur624r6vbkwmjomnmhqfnibmhrxfi/AF-B3QFL8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x74a0dE2524bd63d3f8dFba9468ACa13d0CaC8240
First NFT owner address (bech32): 
genesis1wjsduffyh43a87xlh22x3t9p85x2eqjq04dhc4
Current NFT ID #102764 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
102764
Accession (UniProt):
B3QFL8
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Rhodopseudomonas palustris (strain TIE-1)

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 B3QFL8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B3QFL8|DNLJ_RHOPT DNA ligase OS=Rhodopseudomonas palustris (strain TIE-1) OX=395960 GN=ligA PE=3 SV=1 MTAKTKPAPDIATLTKPKAKVELMRLRLEIEGHDKAYYQDDAPKISDADYDALRRRLEAIEQKFPELVNASSPTQTVGAAPARGFAKVQHAVPMLSLGNAFADDEVAEFVERVQRFLRLDDVPAIVAEPKIDGLSLSLRYENGELVRAATRGDGFTGEDVTANVRTIKDVPNTLKGKHIPAACELRGEVYMLKQDFLALNKRQEEAGETVFANPRNSAAGSLRQKDVLVTASRPLKFFAYAWGEMSTYPMDEPTQHKMLQWLDHAGFVVNPEITLCHSVEDALAFYRRIGEKRASLPYDIDGVVYKVDRLDYQERLGFVSRSPRWAIAHKFAAEQATTVLEKIDIQVGRTGALTPVARLQPVTVGGVVVQNATLHNEDYIRGIGNDGEPIRDGVDIREGDTVVVQRAGDVIPQIVSVVMQKRPAGAEPYHFPHKCPVCGSHAVREEGEAVWRCTGALICPAQAVERLKHFVSRLAFDIDGLGEKQIELFHERGWVQEPADIFTLKARNDQLKLEQLEGYGETSVRNLFAAIDARRTIELHRLIFALGIRHVGEGNAKLLARHYGTLDAFLSAMRAAADAQTEEGNTSEAYQDLDNIAGIGDVVAEAVVEFFAEERNIKALDALLAELTEVLPAEQARRDTAVAGKTVVFTGSLSKFTRDEAKAAAERLGAKVAGSVSKKTDYVVAGEDAGSKLTKAKDLGVTVLTEDEWLALIGN