Q2NAN2 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigb3mh3omrlshh7r7f32w6d7eotejizf7q2xtntzfpin6qlnzi45u/metadata.json
IPFS of structure file: 
bafybeibxfqwxk3xsohfov47zca746pemwhmzqn5zso67337omoo3ufq7vy/AF-Q2NAN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x822E012D889323C46BeB0B18E712e15c69cF5f87
First NFT owner address (bech32): 
genesis1sghqztvgjv3ug6ltpvvwwyhpt35u7hu8w78mmv
Current NFT ID #318928 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
318928
Accession (UniProt):
Q2NAN2
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
ERYTHROBACTER LITORALIS (STRAIN HTCC2594)

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 Q2NAN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2NAN2|PTH_ERYLH Peptidyl-tRNA hydrolase OS=Erythrobacter litoralis (strain HTCC2594) OX=314225 GN=pth PE=3 SV=1 MQIWAGLGNPGPKYALHRHNVGFMACDVIAEMHGFEPVQKKFQGWVQEGRIGSEKVLLLKPGTFMNESGRAIGEAMRFYKLEPQDVTVFYDELDLEPFKIKVKRGGGAAGHNGIRSTIRHIGEDFRRIRIGIGHPGHKDRVTGHVLGNYAKAEQDDLVQMLGAIGAEAEWLAKGDDARFMSDIALRLQA