Q9HJ69 AF NFT

Glyceraldehyde-3-phosphate dehydrogenase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia6353g4olkewj4u2p5ajjk4kmbx44fz4og45ojprmokk7d2lzghm/metadata.json
IPFS of structure file: 
bafybeigdymkqopu45oi3wesqadu5qglbpht57j6jilfmkq6vsxfwva6kay/AF-Q9HJ69-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF737e808bd0a8ac5dA6f308fFFC4E0c00f2B8f89
First NFT owner address (bech32): 
genesis17um7sz9ap29vtkn0xz8ll38qcq8jhrufq9f97y
Current NFT ID #139304 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
139304
Accession (UniProt):
Q9HJ69
Name::
Glyceraldehyde-3-phosphate dehydrogenase
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 Q9HJ69 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HJ69|G3P_THEAC Glyceraldehyde-3-phosphate dehydrogenase OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=gap PE=3 SV=1 MIRVGINGYGTIGRRVARAVSLQDDMIVTGIVKTKPDYVSMVASRDFKIFVPDKSYEKAFQDAGIKVEGTVENLIDDSEIIVDATPEGQGEKNKDLYVKRRIKAIFEGGEEPEIAQASFNAYSNFEEARSKDYVRVVSCNTTALARTLHPLRERFGIRYVDATIVRRATDPNDSKKGPINAVEPSLSIPSHHAPDLRTVMSGLNVSTIAIKAPTTLMHVHAVRVELEKDASKNDVIEAWRSYRRIMEIGKNSGITSTGQMMDLAREFGRDRSDLYEIAVWSQSVSVQGNHVSYIQAVHQESDVVPENVDAIRSMFDIADRDRSVSMTDSKLKIEKRVF