Q10364 AF NFT

Serine/threonine-protein kinase sck2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifyghmbnjbis3b2qum5f4sdoghhcc4dyjzqwecu2avbnsjwpn5fli/metadata.json
IPFS of structure file: 
bafybeigmuycr54h2fljdq4uegr4kzutvbh6pmul3mcyi2er5qeqasz7zme/AF-Q10364-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xba5fB0D21f0B04Cdf2D70FE38daDdF696FDB8152
First NFT owner address (bech32): 
genesis1hf0mp5slpvzvmukhpl3cmtwld9hahq2jjqxejc
Current NFT ID #421385 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
421385
Accession (UniProt):
Q10364
Name::
Serine/threonine-protein kinase sck2
Experimental Method:
Predicted structure
Sequence source:
SCHIZOSACCHAROMYCES POMBE (STRAIN 972 / ATCC 24843)

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 Q10364 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q10364|SCK2_SCHPO Serine/threonine-protein kinase sck2 OS=Schizosaccharomyces pombe (strain 972 / ATCC 24843) OX=284812 GN=sck2 PE=3 SV=1 MMNKWAKNWFGLSKKSVSTNSAKGSLPRSPLASIQTNQPVEEGEGGSLPSVSNLGPSSIDHPMEEFASDQSTVGNRNSNDILPEVDHEPSGYLKLQIGSLVLGGPHTDAALAMECSRLNQLFVVVQFGTTEFVSPPLKWESPGRDIGTSSRDSANVSRSSSMMSSHPIPTPAIQRTSSIPNPLTPSYVVFDVAKPVPIDVNIYDHGNNNEFVGRTYIHPSYNYGQFEQFCNSVEVSPAYNRMVDLRLSLNTVFQPLSQHSYGPDDFVPLKLIGKGTFGQVYLVRKKDTERVYAMKVLSKKVIVRRKEVAHTVGERDILVQTSAADSPFIVALRFSFQTPKDLYLVTDYMAGGELFWHLQKSVRFPEERAKFYIAELLLALQALHKRGIVYRDLKPENILLDVQGHIALCDFGLSKANLSVGTTTRTFCGTTDYLAPEVILDEAGYDMMVDFWSLGVLLYEMTCGWSPFYADNTQQLYKNIVFGKVRFPRGLLSVEARDLIKLLLNRNPKHRLGAHGDVEEVMKHPFFDGIDWKKLAAKEISPPFKPIVEGEIDVSNFDVEFTNKAIDRDFSSTDEMSTSAPLSSTVQNGFKGFTYIDASAMDEAFGYHNSNDSASSISSQDDYSKDNSDMDLNRANDEVFMGQIDP