Q88YK1 Glycerol-3-phosphate dehydrogenase [NAD(P)+] MolNFT, Molecular NFT on GenesisL1

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigkputkizi5smvwumsigyofo6venl5ydjgp7zu5dp4wnhvb2kcb2i/metadata.json

IPFS of structure file:

bafybeihzluucvyznti3hm6t77lrse4t64q7fbmwt2mxkevm5ldxot4dghu/AF-Q88YK1-F1-model_v2.pdb

First NFT owner address (eip-55):

0x1f0b1aeA56C13da54F3c6EE6CE41C19fcF2DD979

First NFT owner address (bech32):

genesis1ru9346jkcy762neudmnvuswpnl8jmktetllypr

Current NFT ID #155745 owner (web3):

0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
155745
Accession (UniProt):
Q88YK1
Name::
Glycerol-3-phosphate dehydrogenase [NAD(P)+]
Experimental Method:
Predicted structure
Sequence source:
Lactiplantibacillus plantarum (strain ATCC BAA-793 / NCIMB 8826 / WCFS1)

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 Q88YK1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q88YK1|GPDA_LACPL Glycerol-3-phosphate dehydrogenase [NAD(P)+] OS=Lactiplantibacillus plantarum (strain ATCC BAA-793 / NCIMB 8826 / WCFS1) OX=220668 GN=gpsA PE=3 SV=1 MMKKIAVLGAGSWGSILANLLDENGHSVRLWSYSPAQVTELNEKHTNERYVPDFKYSETLTAYSNLTQAIDGADVILFVVPTKAIREVAQQVTAVLAKTHQRPIIVHASKGLEQETHKRLSQVLAEEIPTELRQAIVVLSGPSHAEEVARHDITLITAASADESAAELVQQLFMNDYFRIYTNTDVVGVELGAALKNIIALGAGALHGLGYGDDAKAALMTRGLAEISRLGVALGAEPLTFIGLSGVGDLIVTATSVHSRNWRAGNELGAGQDLKTVIDTMGMVIEGIPSTKAAYELAQQQNIEMPITEAIYDVLYKSADIKEVIPQLMRREGKPEIQ

Q88YK1 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q88YK1 research and analysis (ICN3D with VR)

FASTA sequences

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