Q6PC29 AF NFT

14-3-3 protein gamma-1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifwj23pkfcddtwwlbdwecs5egrv4s54lxazrb75p3lwailan44c3u/metadata.json
IPFS of structure file: 
bafybeibflrxex6w4fdabbegszagjefkupjhcx6exovjzactviatxz52gpa/AF-Q6PC29-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD8F3D068a9DC758Bf81Ccd312cF842A9701dc5a7
First NFT owner address (bech32): 
genesis1mreaq69fm36ch7que5cje7zz49cpm3d8gtlxse
Current NFT ID #160 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
160
Accession (UniProt):
Q6PC29
Name::
14-3-3 protein gamma-1
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 Q6PC29 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6PC29|143G1_DANRE 14-3-3 protein gamma-1 OS=Danio rerio OX=7955 GN=ywhag1 PE=2 SV=1 MVDREQLVQKARLAEQAERYDDMAAAMKSVTELNEALSNEERNLLSVAYKNVVGARRSSWRVISSIEQKTSADGNEKKIEMVRAYREKIEKELETVCQDVLNLLDNFLIKNCGETQHESKVFYLKMKGDYYRYLAEVATGEKRAAVVESSEKSYSEAHEISKEHMQPTHPIRLGLALNYSVFYYEIQNAPEQACHLAKTAFDDAIAELDTLNEDSYKDSTLIMQLLRDNLTLWTSDQQDDEGGEGNN