Q9SS48 AF NFT

Glycerol-3-phosphate dehydrogenase SDP6, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiauw2mveakriov23jemjgc4mm7oqxodd7iookqzazzccb3z6otvqy/metadata.json
IPFS of structure file: 
bafybeicx6x5hee3dzapx3ud4b6qq74bj32jroz3j6dnjnfqa7qzrsywlmi/AF-Q9SS48-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0818bCB44Ae14FBCEA0e2A36Bbf96de527A776aB
First NFT owner address (bech32): 
genesis1pqvtedz2u98me6sw9gmth7tdu5n6wa4t4vq8mm
Current NFT ID #423062 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
423062
Accession (UniProt):
Q9SS48
Name::
Glycerol-3-phosphate dehydrogenase SDP6, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9SS48 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SS48|SDP6_ARATH Glycerol-3-phosphate dehydrogenase SDP6, mitochondrial OS=Arabidopsis thaliana OX=3702 GN=SDP6 PE=1 SV=1 MSLASIRRLAAGAAVIAAASGGAVYLSPSVASSDKGGGPILDSLRRRLGDPTASVPSRSAQESALIAATASDPLDVLVIGGGATGSGVALDAVTRGLRVGLVEREDFSSGTSSRSTKLIHGGVRYLEKAVFNLDYGQLKLVFHALEERKQLIENAPHLCHALPCMTPCFDWFEVIYFWMGLKMYDLVAGPRLLHLSRYYSAKESIELFPTLARKGKDKNLRGTVVYYDGQMNDSRLNVGLACTAALAGAAVLNHAEVVSLITDDATKRIIGARIRNNLTGQEFNSYAKVVVNAAGPFCDSIRKMIDEDTKPMICPSSGVHIVLPDYYSPEGMGLIVPKTKDGRVVFMLPWLGRTVAGTTDSNTSITSLPEPHEDEIQFILDAISDYLNIKVRRTDVLSAWSGIRPLAMDPTAKSTESISRDHVVFEENPGLVTITGGKWTTYRSMAEDAVDAAIKSGQLKPTNECVTQKLQLLGSYGWEPSSFTTLAQQYVRMKKTYGGKVVPGAMDTAAAKHLSHAYGSMADRVATIAQEEGLGKRLAHGHPFLEAEVAYCARHEYCESAVDFIARRCRIAFLDTDAAARALQRVVEILASEHKWDKSRQKQELQKAKEFLETFKSSKNAQFNDGKHN