Q0SM65 AF NFT

Peptidyl-tRNA hydrolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavfbni2z7mqw5fyvdovliixyddi2qfr54edq7ewjmdwz4kl6ozhm/metadata.json
IPFS of structure file: 
bafybeiegrwbyvrnzjfxer2yaewlnkzolpkx2wrt72rs2lpjppkyuwbemyi/AF-Q0SM65-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xCC78Ace3dBC179a99a10f6D1FeDF008EfDA3457E
First NFT owner address (bech32): 
genesis1e3u2ec7mc9u6nxss7mglahcq3m76x3t7ftdxqs
Current NFT ID #318753 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
318753
Accession (UniProt):
Q0SM65
Name::
Peptidyl-tRNA hydrolase
Experimental Method:
Predicted structure
Sequence source:
Borreliella afzelii (strain PKo)

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 Q0SM65 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0SM65|PTH_BORAP Peptidyl-tRNA hydrolase OS=Borreliella afzelii (strain PKo) OX=390236 GN=pth PE=3 SV=1 MGLLILGLGNPGLEFSLTRHNVGFSLLDKIVSKNGLFLKRKKKYEYSELRVISRRVILVKPLTYMNLSGSLFPSIFSDFYMCIKNLLVVLDNVDLPLGKCRLKERGGMSTHNGLKSISSVLGSSNYSRLYIGVGSNVMRDIKSFVLSRFCKDEIDRLEKLYDFLSDELIDISESNFKDKVQKINSSNF