Q6NY64 AF NFT

Serine/threonine-protein phosphatase 2A 55 kDa regulatory subunit B delta isoform

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicq4mrtfw6xowqm5win5hpd2tlrg4jw3aykn24midvfngdsqsqiwq/metadata.json
IPFS of structure file: 
bafybeihfefx7vdqwnzdphct2bj7ndao4l6z2q4v25mmv6bnks3ocjxhihq/AF-Q6NY64-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #414 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
414
Accession (UniProt):
Q6NY64
Name::
Serine/threonine-protein phosphatase 2A 55 kDa regulatory subunit B delta isoform
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 Q6NY64 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NY64|2ABD_DANRE Serine/threonine-protein phosphatase 2A 55 kDa regulatory subunit B delta isoform OS=Danio rerio OX=7955 GN=ppp2r2d PE=2 SV=1 MAGVGGGNDFQWCFSQVKGAIDEDVAEADIISTVEFNYSGELLATGDKGGRVVIFQREQESKNRPLSRGEYNVYSTFQSHEPEFDYLKSLEIEEKINKIRWLPQQNAAHFLLSTNDKTIKLWKISERDKRAEGYNLKDEDGRLRDPFRITSLRVPVLMPMDLMVEASPRRIFANAHTYHINSISVNSDYETYLSADDLRINLWHLEITDRSFNIVDIKPANMEELTEVITAAECHPHQCNVFVYSSSKGTIRLCDMRAAALCDRHSKFFEEPEDPSSRSFFSEIISSISDVKFSHSGRYMMTRDYLSVKVWDLNMENRPVETYQVHEYLRSKLCSLYENDCIFDKFECCWNGSDSAIMTGSYNNFFRMFDRNTRRDITLEASRESSKPRAMLKPRKVCTGGKRKKDEISVDSLDFNKKILHTAWHPKENVIAVAATNNLYIFQDKMN