Q65EM9 AF NFT

Phosphoglycerate kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibytp6jhpk2bugi66ds2vd3dcds2zxymzmiw3hafz23j3ox5hsuu4/metadata.json
IPFS of structure file: 
bafybeid3pw6csoalgoky4ytg2l5aegckvo4acid3zo2exoq5gf4hprhtee/AF-Q65EM9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0D671490EE06E75975e90D7F99F73B20BE618744
First NFT owner address (bech32): 
genesis1p4n3fy8wqmn4ja0fp4lenaemyzlxrp6y5ma6w5
Current NFT ID #296332 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
296332
Accession (UniProt):
Q65EM9
Name::
Phosphoglycerate kinase
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 Q65EM9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65EM9|PGK_BACLD Phosphoglycerate kinase 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=pgk PE=3 SV=1 MNKKSVKDIDVKGRVVFCRVDFNVPMKDGKVTDDTRIRAALPTIQYLTEQGAKVLLASHLGRPKGQVSEELRLTPVAARLGELIGKEVKKADEAYGDAVKAQISEMKDGDILVLENVRFYPGEEKNDPELSKAFADLADVYVNDAFGAAHRAHASTAGIAEHLPAVAGFLMEKELEVLGKALSNPERPFTAIIGGAKVKDKIGVIESLLEKVDNLIIGGGLAYTFVKALGHEVGKSLLEEDKIELAKSFMDRAKEKGVNFYMPTDVLVADDFSNDANTKIVPVSEIPSDWEALDIGEETRKTYADVIKNSKLVVWNGPMGVFEIDAFAKGTRAVAEALAEANDTYSVIGGGDSAAAVEKFGLADKMSHISTGGGASLEFMEGKELPGVKALNDK