Q7ZUQ3 AF NFT

Serine/threonine-protein kinase 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiekrrdr3qgzao22tztcakffancqmowfptkjvkiabx2a7l56tijigi/metadata.json
IPFS of structure file: 
bafybeibydb2ycjbd3n47k77fs7kpgd7t7oa63dvwt3ffetccbk4qrl4vuu/AF-Q7ZUQ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0B68cA60C95B982f45BEE070Fa9f83ABE55bc841
First NFT owner address (bech32): 
genesis1pd5v5cxftwvz73d7upc048ur40j4hjzpksd9sn
Current NFT ID #439689 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
439689
Accession (UniProt):
Q7ZUQ3
Name::
Serine/threonine-protein kinase 3
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q7ZUQ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7ZUQ3|STK3_DANRE Serine/threonine-protein kinase 3 OS=Danio rerio OX=7955 GN=stk3 PE=2 SV=1 MEHSVPKNKLKKLSEDSLTKQPEEVFDVLEKLGEGSYGSVFKAIHKESGQVVAIKQVPVESDLQEIIKEISIMQQCDSPYVVKYYGSYFKNTDLWIVMEYCGAGSVSDIIRLRNKTLTEDEIATVLKSTLKGLEYLHFMRKIHRDIKAGNILLNTEGHAKLADFGVAGQLTDTMAKRNTVIGTPFWMAPEVIQEIGYNCVADIWSLGITSIEMAEGKPPYADIHPMRAIFMIPTNPPPTFRKPEHWSDDFTDFVKKCLVKNPEQRATATQLLQHPFIVGAKPVSILRDLITEAMDMKAKRQQEQQRELEEDDENSEEEVEVDSHTMVKSGSESAGTMRATGTMSDGAQTMIEHGSTMLESNLGTMVINSDDEEEEEDLGSMRRNPTSQQIQRPSFMDYFDKQDSNKAQEGFNHNQQDPCLISKTAFPDNWKVPQDGDFDFLKNLDFEELQMRLTALDPMMEREIEELRQRYTAKRQPILDAMDAKKRRQQNF