Q5WHR3 S-adenosylmethionine:tRNA ribosyltransferase-isomerase MolNFT, Molecular NFT on GenesisL1

S-adenosylmethionine:tRNA ribosyltransferase-isomerase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeidiexeuexl3tekcaenajikq6zt2vxseowwlfzl3dqeocpwv5gzmxy/metadata.json

IPFS of structure file:

bafybeicfwykhoa6kry727c4femkhwxdiixezyprmb5e3afim677k7fdw6u/AF-Q5WHR3-F1-model_v2.pdb

First NFT owner address (eip-55):

0x67Cfa51D47d3aEF6be80EF3a7dDDb43e89bf6Ade

First NFT owner address (bech32):

genesis1vl8628286wh0d05qaua8mhd586ym76k7rz6qdg

Current NFT ID #329631 owner (web3):

0xF8cD1d8d93E9783063700De244A6e3cf6A195579

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
329631
Accession (UniProt):
Q5WHR3
Name::
S-adenosylmethionine:tRNA ribosyltransferase-isomerase
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus clausii (strain KSM-K16)

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 Q5WHR3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5WHR3|QUEA_ALKCK S-adenosylmethionine:tRNA ribosyltransferase-isomerase OS=Alkalihalobacillus clausii (strain KSM-K16) OX=66692 GN=queA PE=3 SV=1 MDVNEFDFDLPEELIAQTPLKTRTNSRLLVVDKKTKAISDRMFPDLIEALSPGDCLVLNDTKVMPARLLGEKVETKAVIELLLLKQLEGDCWETLVKPAKRVKIGTEVSFGDGKLTAICTAVQPQGGRIFEFRYSGVFYELLEELGTMPLPPYIKERLEDADRYQTVYAKQIGSAAAPTAGLHFSEQLLLEIEAKGVKIVYITLHVGLGTFRPVSASSVEDHQMHAEYYQVTEEAAHTLASARENGGNIIAVGTTSARTLETIYSDHGAFVAASGWTSIFIYPGYKYQAIDGLLTNFHLPKSTLVMLVSALIGKEALMDAYAHAIKERYRFFSFGDAMFIRP

Q5WHR3 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q5WHR3 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience