Q5FMA9 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic5qgm6ij7w6dqiaereqt72z3jrmq5agloy75mhdxbmkyc44t3uhu/metadata.json
IPFS of structure file: 
bafybeigitx7jl4itxv4e5sjwmmqsroczlo7avokbjb3xpli7ll3hw2dqsa/AF-Q5FMA9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA5679Ea923b25F9e26b7597F1E5fD2be7f1A6Ad9
First NFT owner address (bech32): 
genesis154nea2frkf0euf4ht9l3uh7jhel356kejaxl7p
Current NFT ID #318992 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318992
Accession (UniProt):
Q5FMA9
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
LACTOBACILLUS ACIDOPHILUS (STRAIN ATCC 700396 / NCK56 / N2 / NCFM)

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 Q5FMA9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5FMA9|PTH_LACAC Peptidyl-tRNA hydrolase OS=Lactobacillus acidophilus (strain ATCC 700396 / NCK56 / N2 / NCFM) OX=272621 GN=pth PE=3 SV=1 MKIIAGLGNPGQKYDKTKHNTGFMTMDHYLDKKGLTLNKDKFEGHWTKEKINGEDVIFLEPQTYMNESGRSVSQIANFFKVAPEDVLIIQDDMDMPIGKIRIRANGKSGGHNGIKSIIRDLGTEKFNRLKIGIRHPKNATVVSWVLTPFNDEQQKLMDDAFDTSVDIIDDFIAGRDSQYLMNKYN