Q6KI95 AF NFT

DNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxe5ko52hyqdjy4ekor7rozfcjn7iwbjvu5gowm5t7fttamgzqbi/metadata.json
IPFS of structure file: 
bafybeic6lpeuxdj775few45ezg5ebz2zal277s4yjq3r2v7g4yaumzyiey/AF-Q6KI95-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #102637 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
102637
Accession (UniProt):
Q6KI95
Name::
DNA ligase
Experimental Method:
Predicted structure
Sequence source:
Mycoplasma mobile (strain ATCC 43663 / 163K / NCTC 11711)

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 Q6KI95 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6KI95|DNLJ_MYCMO DNA ligase OS=Mycoplasma mobile (strain ATCC 43663 / 163K / NCTC 11711) OX=267748 GN=ligA PE=3 SV=1 MKVKSKMNDNEKNNRIISEYNDLKNKINLWNKAYFDYDEPLVEDSIYDATLLKLIKFENQYKFLDNSDSPTKNIGAKVSKKFSKVQHQFPMLSLNKAYKFDDLKIFERHINKLGFFPNYFLELKIDGLSISLKYDNGNLIQALTRGDGISGEDVTENVFQIQDIPKQIKYSKPIEIRGEIYLSKSTFYEINECQKSQNLTIFANPRNAASGSLRQLDSSIVKERKLNSFFYSVTNPLDHKIKNFNDQELFLKENNFQVPSLNKFVDTIEKAYEFIKDFEKNNYREKLNYEIDGIVVKVDDFSLYDILGQTSKFPRSMIAFKFSDISIETKLIDIFISVGRTGKITYNAILEPVIINGTLVSAATLHNYEYVESLKLNKNDNVKIIKAGEIIPKVVSLSKKNSETIFKRIEYCTSCNEKLVQPEDEVDQYCINKKCLMIRLRKIEHFASKKAMNILGLGFQNIEKFFKLGILTKYSDLFFLEKYKNLIESQPSFGEKSFNNLIESINRSKSNSLEKFIFAIGIKQIGERSAKLIANEVKLLSNLINFDFEKLNNIRDISCKTINSLKCFFSDENEIEEIKIILELGLDFKNLENEFESKKLQGLNFVITGTLSKPRDFFKELIIKNGGNVLNSISNRINYLLTGEKSGSKIEKAQKINTIKILDENEFNKLI