Q72J62 AF NFT

UPF0173 metal-dependent hydrolase TT_C0917

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif56d72gkeuishd5bybaevvr5wjgqcac6celmn4jcdze6q7cvxbmq/metadata.json
IPFS of structure file: 
bafybeiay7yxd3o5jh52zsfhgzs2kydunewwtp66dzlxygxxxu4jrl6nkhi/AF-Q72J62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x39cE7DD77991D69765BFaaEb966333a74344c5B1
First NFT owner address (bech32): 
genesis18888m4mej8tfwedl4t4evcen5ap5f3d36amec7
Current NFT ID #522810 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
522810
Accession (UniProt):
Q72J62
Name::
UPF0173 metal-dependent hydrolase TT_C0917
Experimental Method:
Predicted structure
Sequence source:
Thermus thermophilus (strain ATCC BAA-163 / DSM 7039 / HB27)

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 Q72J62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q72J62|Y917_THET2 UPF0173 metal-dependent hydrolase TT_C0917 OS=Thermus thermophilus (strain ATCC BAA-163 / DSM 7039 / HB27) OX=262724 GN=TT_C0917 PE=3 SV=1 MVEVRYLGHSAVLLTDGKTRIVIDPFLTGNPMAALGVGEVQADLILVTHAHGDHFGDSVALSKKGGVVVSTFEIATYAEKHGAKSVPMNLGGTYRFEGGWLKWVPAWHSSSFPDGTYGGMPMGVVVELGGKRIYHAGDTALFSDMRLIGEMGLDLALLPIGDHFTMGPEDALKALELLRPKKVVPIHYNTFPPIRQDGEAFAQRAREKGVEGHALKPGEVLRLD