Q4QK67 AF NFT

1,4-alpha-glucan branching enzyme GlgB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih2fngt4h5o5najfjlp7aunvxohweevzxtmsbnrdsby5pwjddkeqe/metadata.json
IPFS of structure file: 
bafybeibzfc3xszpytteu4hy26n27lfrvthwxbj6qqt6vxz4oqdbejd2i3y/AF-Q4QK67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x88DB42AFD1c918761d553B3c6CEc7ba83c6f79bC
First NFT owner address (bech32): 
genesis13rd59t73eyv8v8248v7xemrm4q7x77du3l8xmx
Current NFT ID #148436 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
148436
Accession (UniProt):
Q4QK67
Name::
1,4-alpha-glucan branching enzyme GlgB
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN 86-028NP)

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 Q4QK67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4QK67|GLGB_HAEI8 1,4-alpha-glucan branching enzyme GlgB OS=Haemophilus influenzae (strain 86-028NP) OX=281310 GN=glgB PE=3 SV=1 MTTAVTQATIDGFFDASNGDPFATLGMHETEQGIEIRTLLPDANRMVVIERESGKEITELDCVDERGFFVGVIPNCRQFFAYQLQVFWGNEAQIIEDPYRFHPMIDDLEQWLLSEGSMLRPYEVLGAHFMECDGVSGVNFRLWAPNARRVSIVGDFNYWDGRRHPMRFHPKSGVWELFLPKASLGQLYKFELIDCYGNLRLKADPYAFSSQLRPDTASQISALPNVVEMTEQRRQANQANQPISIYEVHLGSWRRNLENNFWLDYDQIADELIPYVKEMGFTHIEFLPLSEFPFDGSWGYQPLGLYSPTSRFGSPEAFRRLVKRAHEAGINVILDWVPGHFPSDTHGLVAFDGTALYEHEDPREGYHQDWNTLIYNYGRNEVKNFLSSNALYWLERFGVDGIRMDAVASMIYRDYSRAEGEWIPNQYGGRENLEAIEFLKHTNWKIHSEMAGAISIAEESTSFAGVTHPSEDGGLGFNFKWNMGWMNDTLAYMKLDPIYRQYHHNKMTFGMVYQYSENFVLPLSHDEVVHGKYSLLGKMPGDTWQKFANLRAYYGYMWGYPGKKLLFMGNEFAQGREWNYEESLDWFLLDENIGGGWHKGVLKLVKDLNQIYQKNRPLFELDNSPEGFDWLVVDDAANSVFAFERRSSNGERIIVVSNFTPVPRHNYRIGVNVAGKYEEILNTDSMYYEGSNVGNFGCVASEKIESHGRENSISVSIPPLATVYLRLKAK