Q9CN94 AF NFT

1,4-alpha-glucan branching enzyme GlgB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif6w6hseuepnzwv2nkpphfgkihn4wbsviiw5ugpoftgfmkrii65fq/metadata.json
IPFS of structure file: 
bafybeigrp2rllavi5mdvdvmvyjfppfbdft3fckti6mrhpajjuglweihcey/AF-Q9CN94-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #148487 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
148487
Accession (UniProt):
Q9CN94
Name::
1,4-alpha-glucan branching enzyme GlgB
Experimental Method:
Predicted structure
Sequence source:
PASTEURELLA MULTOCIDA (STRAIN PM70)

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 Q9CN94 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CN94|GLGB_PASMU 1,4-alpha-glucan branching enzyme GlgB OS=Pasteurella multocida (strain Pm70) OX=272843 GN=glgB PE=3 SV=1 MVQLVSPSVINQFFEGTHADPFSVLGMHETEKGIEIRALLPDASRVVVIDRETHNAVCELEHVDERGFFAAVIPKTRTFFAYQLQVFWGAESQFIEDPYRFHPMLADLDNWLLSEGSHLRPYEVLGAHFMECDGVSGVNFRLWAPNAKRVSIVGDFNYWDGRRHPMRFHQKSGVWELFLPKASLGQLYKFELIDCHGQLRLKADPYAFSSQLRPDTASQISALPEIVPMTEQRRKANQFDQPISIYEVHLGSWRRNLENNFWLDYDQIADELIPYVKEMGFTHIEFLPISEFPFDGSWGYQPLGLYSPTSRFGTAEGFKRLIEKAHQAGINVILDWVPGHFPSDTHGLAAFDGTALYEHADPREGYHQDWNTLIYNYGRNEVRNFLSSNALYWLERFGLDGIRVDAVASMIYRDYSRAEGEWIPNQYGGRENLEAIEFLKHTNWKIDSEVQGAISIAEESTSFAGVTKPSTEGGLGFHFKWNMGWMNDTLSYMQKDPVYRQYHHDQMTFGMVYQYSENFVLPLSHDEVVHGKCSLLGKMPGDAWQKFANLRAYYGYMWGYPGKKLLFMGNEFAQGREWNYQESLDWFLLEEEHGGRWHQGVQLLVKDLNHIYQQHASLFELDGSPEGFDWLVVDDRQNSVFAFERRSKDGERIIVVSNFTPVPRHDYRFGVNMAGNYVEILNTDSAFYQGSNVGNYGEVGSEAIPSHARAQSICVSIPPLATIYLKYQGE