Q9CQV8 AF NFT

14-3-3 protein beta/alpha

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibromfquliyh4scnbu7qhcqafzx6u4envukm3sttbulug57hd5a6i/metadata.json
IPFS of structure file: 
bafybeidtmzhprg4xkb2ivlrge5reja74lqa6cws5wk6qbqyeg5tz3hjbxu/AF-Q9CQV8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x93bBF2fe56740B1134A77aBB4c1B98d1631fF1Be
First NFT owner address (bech32): 
genesis1jwal9ljkws93zd9802a5cxuc6933lud7tt64wl
Current NFT ID #80 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
80
Accession (UniProt):
Q9CQV8
Name::
14-3-3 protein beta/alpha
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 Q9CQV8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CQV8|1433B_MOUSE 14-3-3 protein beta/alpha OS=Mus musculus OX=10090 GN=Ywhab PE=1 SV=3 MTMDKSELVQKAKLAEQAERYDDMAAAMKAVTEQGHELSNEERNLLSVAYKNVVGARRSSWRVISSIEQKTERNEKKQQMGKEYREKIEAELQDICNDVLELLDKYLILNATQAESKVFYLKMKGDYFRYLSEVASGENKQTTVSNSQQAYQEAFEISKKEMQPTHPIRLGLALNFSVFYYEILNSPEKACSLAKTAFDEAIAELDTLNEESYKDSTLIMQLLRDNLTLWTSENQGDEGDAGEGEN