Q6DGQ4 AF NFT

UPF0547 protein C16orf87 homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigaucurkaekhdzo7mi45npoi3neurch5qx7ab74kd237o2bsovx7u/metadata.json
IPFS of structure file: 
bafybeibqo33yvspoemz5qtwhr75gfcgzqnvaor6mz5chosrveoal3uvt3i/AF-Q6DGQ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1809854595B6549DcFcCEcDF9706AC2d1a0E0E17
First NFT owner address (bech32): 
genesis1rqyc23v4ke2fmn7van0ewp4v95dqurshtgegq5
Current NFT ID #74782 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
74782
Accession (UniProt):
Q6DGQ4
Name::
UPF0547 protein C16orf87 homolog
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 Q6DGQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6DGQ4|CP087_DANRE UPF0547 protein C16orf87 homolog OS=Danio rerio OX=7955 GN=zgc:92818 PE=2 SV=1 MSTNKVKKVKMATKSCPECDQQIPVACKSCPCGYVFISRKLLNAKLNERSGVMDKLEDKRRRTERIRKEKINLTSTSDMENRRRSRTNSHSDPIRRGRGRPKTVGLKKQEEEKEKQEREVDIYANLSDEKAFVFSVALAEINRKILGQRLIL