Q3JPG2 AF NFT

Putative pre-16S rRNA nuclease

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicc7bjqpxkiilkfffcovf4uurdsnfl3p3vfothib5qasbcyewnvga/metadata.json
IPFS of structure file: 
bafybeid6lbwzycfbnyntvpkqrgsovibn347abmlzyvim6cntyibjnz5klm/AF-Q3JPG2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x71112d4fF7ebb3b617963c05f052289e073082FD
First NFT owner address (bech32): 
genesis1wygj6nlhawemv9uk8szlq53gncrnpqha56an79
Current NFT ID #537152 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
537152
Accession (UniProt):
Q3JPG2
Name::
Putative pre-16S rRNA nuclease
Experimental Method:
Predicted structure
Sequence source:
BURKHOLDERIA PSEUDOMALLEI (STRAIN 1710B)

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 Q3JPG2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3JPG2|YQGF_BURP1 Putative pre-16S rRNA nuclease OS=Burkholderia pseudomallei (strain 1710b) OX=320372 GN=BURPS1710b_3169 PE=3 SV=1 MSAALSRDATLLAFDYGEKRIGVAVGNLLTRTARALVIVRNLNREHRFKAVGELIAEWKPDALVVGLPLHPDGAPHEMTQRAMRFGNQLNGRFNLPVSWVDERYSSVEARAGLRARGDAADRVDAEAARVILQQYLDGLPDHHEFN