B1LI92 AF NFT

Glycogen debranching enzyme

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiek52pkqthr4qg6aju2zwo4fe7v4vdxa4s6beajlywkzkfblqjel4/metadata.json
IPFS of structure file: 
bafybeicwi24jur2qzxcsatsryw7ircomwhf623umcztekgphd5k5fvfe4y/AF-B1LI92-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x09279df92347e96956133751446028003b82a1E0
First NFT owner address (bech32): 
genesis1pynem7frgl5kj4snxag5gcpgqqac9g0qhe7ms7
Current NFT ID #148988 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
148988
Accession (UniProt):
B1LI92
Name::
Glycogen debranching enzyme
Experimental Method:
Predicted structure
Sequence source:
Escherichia coli (strain SMS-3-5 / SECEC)

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 B1LI92 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1LI92|GLGX_ECOSM Glycogen debranching enzyme OS=Escherichia coli (strain SMS-3-5 / SECEC) OX=439855 GN=glgX PE=3 SV=1 MTQLAIGKPTPLGAHYDGQGVNFTLFSAHAERVELCVFDANGQEHRYDLPGHSGDIWHGYLPDARPGLRYGYRVHGPWQPAEGHRFNPAKLLIDPCARQIDGEFKDNPLLHAGHNEPDYRDNAAIAPKCVVVVDHYDWEDDAPPRTPWGSTIIYEAHVKGLTYLHPEIPVEIRGTYKALGHPVMINYLKQLGITALELLPVAQFASEPRLQRMGLSNYWGYNPVAMFALHPAYACSPETALDEFRDAIKALHKAGIEVILDIVLNHSAELDLDGPLFSLRGIDNRSYYWIREDGDYHNWTGCGNTLNLSHPAVVDYASACLRYWVETCHVDGFRFDLAAVMGRTPEFRQDAPLFTAIQNCPVLSQVKLIAEPWDIAPGGYQVGNFPPLFAEWNDHFRDAARRFWLHYDLPLGAFAGRFAASSDVFKRNDRLPSAAINLVTAHDGFTLRDCVCFNHKHNEANGEENRDGTNNNYSNNHGKEGLGGTLDLVERRRDSIHALLTTLLLSQGTPMLLAGDEHGHSQHGNNNAYCQDNQLTWLDWSQASSGLTAFTAALIHLRKRIPALVENRWWEEGDGNVRWLNRYAQPLSTDEWQNGPKQLQILLSDRFLIAINATLEVTEIVLPAGEWHAIPPFAGEDNPVITAVWQGPAHGLCVFQR