Q5RGJ6 AF NFT

WASH complex subunit 3

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidveaxvvlki7gcgppw7hl2t6a2ep25ylnui7sxj3uvc6biberpvzm/metadata.json
IPFS of structure file: 
bafybeigm3qhxbrtlftn5dpqutkvcq6kaouqfiluqp2xzwhd4kwgivhwqua/AF-Q5RGJ6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe4aF75CC6301a0Afa5dD04dd207fC9F42D188805
First NFT owner address (bech32): 
genesis1ujhhtnrrqxs2lfwaqnwjql7f7sk33zq9wzr9ms
Current NFT ID #498846 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
498846
Accession (UniProt):
Q5RGJ6
Name::
WASH complex subunit 3
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 Q5RGJ6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5RGJ6|WASC3_DANRE WASH complex subunit 3 OS=Danio rerio OX=7955 GN=washc3 PE=2 SV=1 MDADGLPIVGSGVDLTKVPAIQQRRIVAFLNQFIVHTVRFLNRFSTVCEEKLSTVSLRIQQIETTLSILEAKLASIPGLEEVTVDGVRAPAETNGPAADTSRATAPPAEASQQTQAAPQEPKTEAPAENIMTVAKDPRYARYLKMVQVGVPVMAIKNKMMMEGLDPNLLDTPDAAVPDASKKRLEEQDDDSSGSESSFSD