Q9JWH0 AF NFT

Glycerol-3-phosphate dehydrogenase [NAD(P)+]

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibu24svqnjeen2fd3ln2ziefqfwrypceraktcbsebbes6uagcsvta/metadata.json
IPFS of structure file: 
bafybeibfmt3r5ex3tzzm2hamrtqn4nyzdmjiqduudqvhssd62zdifihzri/AF-Q9JWH0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #155800 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
155800
Accession (UniProt):
Q9JWH0
Name::
Glycerol-3-phosphate dehydrogenase [NAD(P)+]
Experimental Method:
Predicted structure
Sequence source:
Neisseria meningitidis serogroup A / serotype 4A (strain DSM 15465 / Z2491)

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 Q9JWH0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9JWH0|GPDA_NEIMA Glycerol-3-phosphate dehydrogenase [NAD(P)+] OS=Neisseria meningitidis serogroup A / serotype 4A (strain DSM 15465 / Z2491) OX=122587 GN=gpsA PE=3 SV=1 MKITVIGAGSWGTALALHFSQHGNRVSLWTRNADQVRQMQEARENKRGLPGFSFPETLEVCADLADALKDSGLVLIVTSVAGLRSSAELLKQYGAGHLPVLAACKGFEQDTGLLTFQVLKEVLPDNKKIGVLSGPSFAQELAKQLPCAVVLASENQEWVEELVPQLNTSVMRLYGSTDVIGVAVGGAVKNVMAIATGLSDGLEYGLNARAALVTRGLAEITRLASAMGAQPKTMMGLAGIGDLILTCTGALSRNRRVGLGLAEGKELHQVLVEIGHVSEGVSTIEEVFNTACKYQIDMPITQTLLQLIRKEMTPQQVVERLMERSARFE