Q9HJT0 AF NFT

Diphthine synthase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiay6r4eqqy2vy2lk4hbt2jnodfehbu4u6wbwemscvecnj4qkvf3tm/metadata.json
IPFS of structure file: 
bafybeigiokh6e226bxxkwmpkfpskvbqz6nioqkabbphn2ai5m5cs4ccut4/AF-Q9HJT0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #103810 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
103810
Accession (UniProt):
Q9HJT0
Name::
Diphthine synthase
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA ACIDOPHILUM (STRAIN ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165)

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 Q9HJT0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HJT0|DPHB_THEAC Diphthine synthase OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=dphB PE=3 SV=1 MLNIIGVGLRGTGSITFDEFDALRTSDFVYADMYTSIGQPGLIRKISAMIDRDILPLTRDEIENGSILPQAASKNVSLIVVGDPLMATTHNELRYEAMNQGIGVRIFENASILNAAIGKAGLMVYKVAPPVSLPRISEKFFPLSVIDKIKRNADLGLHTPVLIDLEDQENIPLHDALASLLEMERRREYSGIIREICVLSRISFPDEKILFGRIEDMMQQEVNSPYMMFILSKLDDNERRFLSLFSESVSKVSDARS