Q6AAC7 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaxt5bb2gcfp6zkddyf22d332ojvqxxbtukunhwdht2fkfpsl7a3m/metadata.json
IPFS of structure file: 
bafybeievbuvdt7yifcn4bmwmbrcyisyae5jmafpayasfgu536lpqwly7fy/AF-Q6AAC7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xDD3aB6e93BD0af11af3690D795B32ac5330d24b9
First NFT owner address (bech32): 
genesis1m5atd6fm6zh3rtekjrtetve2c5es6f9ewmdm7m
Current NFT ID #318878 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
318878
Accession (UniProt):
Q6AAC7
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Cutibacterium acnes (strain DSM 16379 / KPA171202)

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 Q6AAC7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6AAC7|PTH_CUTAK Peptidyl-tRNA hydrolase OS=Cutibacterium acnes (strain DSM 16379 / KPA171202) OX=267747 GN=pth PE=3 SV=1 MSPSWLVIGLGNPGPRYDGTRHNVGADVIAELCRRAGEKLSPARGQRAELVRTRLSSAGLGVPAVDAQTVILMRSRTYMNESGIAVSKVASFAGITPDHLIVVHDEIDLDPGRLRLKKGGGDNGHNGLKSIRAHLRTGDFIRVRLGVGRPPGHQDPADWVLARVPARQRAEMGVQVALAADAVESIIIQGLAAAQNRFNS