Q67JK8 AF NFT

UPF0173 metal-dependent hydrolase STH3160

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia4i6kxdms7pp6ydla5ny3hmosomwl76xxtgnyv3moxt4ttyq56hi/metadata.json
IPFS of structure file: 
bafybeihdvj2fwcfdfffur54ameqw5a27dldw6gkfd55dg7j5yrk4vgxi3i/AF-Q67JK8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB2a13B905dBaBb1935B122EC19E2A92ca9a472EA
First NFT owner address (bech32): 
genesis1k2snhyzah2a3jdd3ytkpnc4f9j56guh2zzjywf
Current NFT ID #514689 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514689
Accession (UniProt):
Q67JK8
Name::
UPF0173 metal-dependent hydrolase STH3160
Experimental Method:
Predicted structure
Sequence source:
SYMBIOBACTERIUM THERMOPHILUM (STRAIN T / IAM 14863)

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 Q67JK8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67JK8|Y3160_SYMTH UPF0173 metal-dependent hydrolase STH3160 OS=Symbiobacterium thermophilum (strain T / IAM 14863) OX=292459 GN=STH3160 PE=3 SV=1 MQIRYLGHSAFEITDGKWNLLIDPFITGNPACPVKAEELHPQYILVTHLHDDHVGDTVAIAKRTGATVITSFEGGQALAAQGVKVADMALGGKRRFDFGLVRVTLAFHGFGPTGGHACGFVIHIGGKRIYHAGDTALFSDMKLLNGVIEEPGIDVAMLPIGDNYTMGPEDAAVAVEWIRPKVVIPMHWGTFPVLVQDASGFAARVRETGASQPVVLRPGETYTL