C4KJ09 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibb6gktisvrareeqiuta5s7krtq3snoowhjho42iqit5zzlgcnfmi/metadata.json
IPFS of structure file: 
bafybeihch6yfhzggi32qwl22af5d3ixzrg2rceamon6s5j4kspha3r45ty/AF-C4KJ09-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF50a6eF515aB40F7071cB2E9F5e6410c6BD08d86
First NFT owner address (bech32): 
genesis1759xaag44dq0wpcukt5ltejpp34aprvx6ma7wg
Current NFT ID #319342 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
319342
Accession (UniProt):
C4KJ09
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Sulfolobus islandicus (strain M.16.4 / Kamchatka #3)

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 C4KJ09 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C4KJ09|PTH_SULIK Peptidyl-tRNA hydrolase OS=Sulfolobus islandicus (strain M.16.4 / Kamchatka #3) OX=426118 GN=pth PE=3 SV=1 MVKMVIVVRSDIKMGKGKMAAQVAHAAVTLVISIINSNNSRWKEWLNEWLQQGQPKIVVKANSLDEIILRSKKAETMNLPFSIIEDAGKTQLEPGTITCLGIGPAPENLIDPITGDLKLL