Q9SY91 Probable serine/threonine-protein kinase PBL15 MolNFT, Molecular NFT on GenesisL1

Probable serine/threonine-protein kinase PBL15

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeieoqj6jgupi2n7vfddqpl3nhpkzabyfrlr66sydafwvhvesl2y5ue/metadata.json

IPFS of structure file:

bafybeieumxu6ygu7uyvlciums6yc4e3sdtkbro5faesje5ywcgucuawry4/AF-Q9SY91-F1-model_v2.pdb

First NFT owner address (eip-55):

0xcA11A091A44cb1986a9fBE9F5c2Bf7E199663C24

First NFT owner address (bech32):

genesis1egg6pydyfjces65lh604c2lhuxvkv0py2dn57j

Current NFT ID #288969 owner (web3):

0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
288969
Accession (UniProt):
Q9SY91
Name::
Probable serine/threonine-protein kinase PBL15
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9SY91 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SY91|PBL15_ARATH Probable serine/threonine-protein kinase PBL15 OS=Arabidopsis thaliana OX=3702 GN=PBL15 PE=1 SV=1 MRDSSTTASTKSSPLWKPFASNCCSVDDQTVFGNLSRCRPSRSEFSKNHLGPLPSFRRLSFADLSRSSSARINEDLAQTLGADLVDFQMCELKMITQSFSGNYLLGEGGFGKVYKGYVDDYLRQSLKAQPVAVKLLDIEGLQGHREWLSEVIFLGQLKHPNLVKLIGYCCEEEERVLIYEFMPRGSLENHLFRRISLSLPWATRLKIAVAAAKGLAFLHDLESPIIYRDFKTSNILLDSDFTAKLSDFGLAKMGPEGSKSHVTTRVMGTYGYAAPEYVSTGHLTTKSDVYSYGVVLLELLTGRRATEKSRPKNQQNIIDWSKPYLTSSRRLRCVMDPRLAGQYSVKAAKDTALLALQCVSPNPKDRPKMLAVVEALESLIHYKDMAVSSGHWPLSPKSQGGKVSPKVRGDHRSGRKSAPGSLRS

Q9SY91 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9SY91 research and analysis (ICN3D with VR)

FASTA sequences

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