Q81J96 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidj6tutcjvst7pugyfvixanfcjaalp6xy6o6e3buv6y53hcdp2k4e/metadata.json
IPFS of structure file: 
bafybeiao3bnbbjnixsmsn2fu7ntc26idvjalyecrnnlcvl4h7hlafyethq/AF-Q81J96-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x05D249E48b5e19C17E7AE90Ad57354470160c428
First NFT owner address (bech32): 
genesis1qhfyneyttcvuzln6ay9d2u65guqkp3pgdjkcva
Current NFT ID #318730 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318730
Accession (UniProt):
Q81J96
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q81J96 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81J96|PTH_BACCR Peptidyl-tRNA hydrolase OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=pth PE=3 SV=2 MKLIVGLGNPGREYELTRHNIGFMAIDELAKRWNISLNEQKFKGVFGAGFVNGEKVILLKPLTYMNLSGESIRPLMDYYKIDVEDFVVMYDDLDIPVGKLRLRMKGSAGGHNGVKSTISHLGTQEFQRIRMGIDRPKNGMKVVDYVLGRFTSEEIPDVNHSIEKAADACEEWLNKPFLQIMNTFNS