Q1CAJ7 AF NFT

Hydroxyacylglutathione hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieljo6wngf576elx7zx6r3bnq5q5zkw42lfp62rwavmbeemepprp4/metadata.json
IPFS of structure file: 
bafybeib3j2kqusbrt4cfci5u4kfoudqmi32varbhiuded465w4qaabqppa/AF-Q1CAJ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7717d08b9C504f06fF65Dac452b367e0cB98842b
First NFT owner address (bech32): 
genesis1wutapzuu2p8sdlm9mtz99vm8ur9e3pptytrf85
Current NFT ID #151661 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
151661
Accession (UniProt):
Q1CAJ7
Name::
Hydroxyacylglutathione hydrolase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Antiqua)

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 Q1CAJ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CAJ7|GLO2_YERPA Hydroxyacylglutathione hydrolase OS=Yersinia pestis bv. Antiqua (strain Antiqua) OX=360102 GN=gloB PE=3 SV=1 MNLISIPAFQDNYIWLLANRQKHCVIVDPGESAPVLATLAQGQYVPQAILLTHHHNDHVGGVADLRHHFPDIPVYGPQETAKKGATVIVNDGDSLTIAGQNYTIIAVPGHTLGHIAYYSSPYLFCGDTLFSAGCGRLLEGTPEQMYASIQRLAQLPDETLICCAHEYTLSNLKFAHAILPADQDIATYQQQIEQLRSKNLPSLPVKLQFERKINVFLRCNDIDLQRKIGTTSPPDSLVSVFCELRSRKDSF