Q65I16 AF NFT

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

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie65uynsiakti2ckos5eqmpvdhrf6rk55rjw6snrm6urqkydnckje/metadata.json
IPFS of structure file: 
bafybeig3cigkhkiqroi64t27hkm5u5a43mb6rfiofo6i4blh5673iyflhy/AF-Q65I16-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3d4E27cf9065B918518565E961f228A07fD3933F
First NFT owner address (bech32): 
genesis1848z0nusvku3s5v9vh5kru3g5pla8yelumkvae
Current NFT ID #155530 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
155530
Accession (UniProt):
Q65I16
Name::
Glycerol-3-phosphate dehydrogenase [NAD(P)+]
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65I16 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65I16|GPDA_BACLD Glycerol-3-phosphate dehydrogenase [NAD(P)+] OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=gpsA PE=3 SV=1 MTKVSILGAGSWGTALALVLADNQYDVCIWGHREELIQQINEHHENKDYLPGVKLSENVRATTDLEAAVADVKTIIVAVPTKAIREVLAQAVSFINQKAIFVHVSKGIEPDTLLRISEMMKEEIPAELREDIVVLSGPSHAEEVGLRHPTTVTVSADSSIESAQAIQDMFMNQNFRVYTNPDMIGVEIGGALKNVIALAAGITDGLGYGDNAKAALITRGLAEIARLGTKMGGNPLTFSGLTGIGDLIVTCTSVHSRNWRAGNMLGKGFKLDEVLEEMGMVVEGVRTTKAAYQLSKKFDVKMPITEALHKVLFDGEKVETAVESLMARVKTHEMEDLVNTFENQMK