Q7T356 AF NFT

14-3-3 protein beta/alpha-B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigdhwc2nijoxukfrh2kmyy4r7yugqxtclupa5udlxihfcgkgrk43i/metadata.json
IPFS of structure file: 
bafybeibb6wlr4lx6bqe4k3kwcixocdspysa266sbziayq55luzjspjhyve/AF-Q7T356-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD0cfbEc245A8BAC2A6eE43DE22b2C650C2c695B5
First NFT owner address (bech32): 
genesis16r8masj94zav9fhwg00z9vkx2rpvd9d49s2r9p
Current NFT ID #158 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
158
Accession (UniProt):
Q7T356
Name::
14-3-3 protein beta/alpha-B
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 Q7T356 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7T356|143BB_DANRE 14-3-3 protein beta/alpha-B OS=Danio rerio OX=7955 GN=ywhabb PE=2 SV=1 MDKSDLVQKAKLAEQAERYDDMAAAMKAVTEGGVELSNEERNLLSVAYKNVVGARRSSWRVISSIEQKTEGNEKKQQMAREYREKIETELQDICSDVLGLLEKYLIANASQAESKVFYLKMKGDYYRYLSEVASGDSKATTVENSQKAYQDAFDISKKDMQPTHPIRLGLALNFSVFYYEILNSPENACQLAKTAFDEAIAELDTLNEDSYKDSTLIMQLLRDNLTLWTSENQGEEAGENEN