Q9HK42 AF NFT

UPF0173 metal-dependent hydrolase Ta0764

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihr5tvprsx2vexftigoxh2g2wch3cjqgnidxkthb3ce4pvhdtqlpq/metadata.json
IPFS of structure file: 
bafybeiauktloibyscooj4y3gov5avnhszmlfdjkrqrsesovgsphtevgiam/AF-Q9HK42-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb32Db384ED6E8dDDA70db1730f5C9f8010365dbB
First NFT owner address (bech32): 
genesis1kvkm8p8dd6xamfcdk9es7hylsqgrvhdmstvyyd
Current NFT ID #521541 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
521541
Accession (UniProt):
Q9HK42
Name::
UPF0173 metal-dependent hydrolase Ta0764
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA ACIDOPHILUM (STRAIN ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165)

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 Q9HK42 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HK42|Y764_THEAC UPF0173 metal-dependent hydrolase Ta0764 OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=Ta0764 PE=3 SV=2 MENLKIIWHGHACFSLIGKKHVLVDPFLTDNPVAKVKPEELKPDLILVTHGHSDHCEDASKISKNTHAPVVAAFELSEILKEEGTETIDINPGGTIEYEGIRVKATIATHSSSYNGRYAGNPMGFVIDMGRKIYHAGDTGYFKDMEAIGAMDRPDIALLPIGGHYTMDVDGAFEAVKAIKPAIAIPMHYNTFDLIRADPERFKALAGTVGTYVIIPEIEKPIEI