Q64X30 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifvrcavdnlk4ff2rno7rd6bu3zisj73d6i65jymapa5mxb2m36coa/metadata.json
IPFS of structure file: 
bafybeiewqzkek5uin7vn6sb5dnlkougdqiy5y6swkd4qqj77ugrc72bkiq/AF-Q64X30-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE30012A6Af8a0a40153f2882Bd2e0444eC52063c
First NFT owner address (bech32): 
genesis1uvqp9f403g9yq9fl9zpt6tsygnk9yp3u00dlmh
Current NFT ID #318733 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318733
Accession (UniProt):
Q64X30
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Bacteroides fragilis (strain YCH46)

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 Q64X30 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q64X30|PTH_BACFR Peptidyl-tRNA hydrolase OS=Bacteroides fragilis (strain YCH46) OX=295405 GN=pth PE=3 SV=1 MKYLIVGLGNIGPEYHETRHNIGFMVLDALARANNLSFTDGRYGFTTTLSVKGRQMILLKPSTFMNLSGNAVRYWMQKENIPLENVLIIVDDLALPFGTLRLKSKGSDAGHNGLKHIATILGTQNYARLRFGIGNDFPRGGQIDFVLGHFTDEDWKTMDERLETAGEIAKSFCLAGIDITMNQFNKK