B7L4W3 AF NFT

Glycogen debranching enzyme

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiej6i5g652r7c5fc2znlnfrtgwles3ttcub5yhbcmcdpm2xyu3uw4/metadata.json
IPFS of structure file: 
bafybeibdktlslhaxehcuehuhqvik3t2quos3genrmqwtffs3pcquylo744/AF-B7L4W3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA5C67C79cc2A9BE77fF6811FA758556D0dA3ab4c
First NFT owner address (bech32): 
genesis15hr8c7wv92d7wllksy06wkz4d5x6826vhermvd
Current NFT ID #148972 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
148972
Accession (UniProt):
B7L4W3
Name::
Glycogen debranching enzyme
Experimental Method:
Predicted structure
Sequence source:
ESCHERICHIA COLI (STRAIN 55989 / EAEC)

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 B7L4W3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7L4W3|GLGX_ECO55 Glycogen debranching enzyme OS=Escherichia coli (strain 55989 / EAEC) OX=585055 GN=glgX PE=3 SV=1 MTQLAIGKPAPLGAHYDGQGVNFTLFSAHAERVELCVFDANGQEHRYDLPGHSGDIWHGYLPDARPGLRYGYRVHGPWQPAEGHRFNPAKLLIDPCARQIEGEFKDNPLLHAGHNEPDYRDNAAIAPKCVVVVDHYDWEDDAPPRTPWGSTIIYEAHVKGLTYLHPEIPVEIRGTYKALGHPVMINYLKQLGITALELLPVAQFASEPRLQRMGLSNYWGYNPVAMFALHPAYACSPETALDEFRDAIKALHKAGIEVILDIVLNHSAELDLDGPLFSLRGIDNRSYYWIREDGDYHNWTGCGNTLNLSHPAVVDYASACLRYWVETCHVDGFRFDLAAVMGRTPEFRQDAPLFTAIQNCPVLSQVKLIAEPWDIAPGGYQVGNFPPLFAEWNDHFRDAARRFWLHYDLPLGAFAGRFAASSDVFKRNGRLPSAAINLVTAHDGFTLRDCVCFNHKHNEANGEENRDGTNNNYSNNHGKEGLGGSLDLVERRRDSIHALLTTLLLSQGTPMLLAGDEHGHSQHGNNNAYCQDNQLTWLDWSQASSGLTAFTAALIHLRKRIPALVENRWWEEGDGNVRWLNRYAQPLSTDEWQNGPKQLQILLSDRFLIAINATLEVTEIVLPAGEWHAIPPFAGEDNPVITAVWQGPAHGLCVFQR