C5D374 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihns3rexbydp36rkq3lqvfqjsbfnllrthrpohlpptx7sjgkfbesae/metadata.json
IPFS of structure file: 
bafybeibmamhjt6cc6jacu7elbggnxtkocqht4hmijs5lvh5cqeng2iafvi/AF-C5D374-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4f3a26F6765d1790EF70B414daE91cC86a493C1
First NFT owner address (bech32): 
genesis17ne6ymm8vhghjrhhpdq5mt53ejr2fy7pkxhum9
Current NFT ID #318952 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318952
Accession (UniProt):
C5D374
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Geobacillus sp. (strain WCH70)

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 C5D374 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5D374|PTH_GEOSW Peptidyl-tRNA hydrolase OS=Geobacillus sp. (strain WCH70) OX=471223 GN=pth PE=3 SV=1 MKLFVGLGNPGKEYEQTRHNAGFMVIDELAKRWNISFQTTKFHGMMASTVIFGEKVALCKPLTYMNLSGECVRPLMDYYHIDVDDVIVIYDDLDLPPGKIRLRMKGSSGGHNGIKSLIHHLGTQEFKRVRIGIGRPANGQKITDYVLGRFTKEESDAVMEAILRAADACEKAVVTPFLQVMNEFNA