C3PCL8 AF NFT

1,4-alpha-glucan branching enzyme GlgB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifd7tcxwgzcyeulptnalkt6ieshbe7g5quhqe2hntv3u3vb7lsn3a/metadata.json
IPFS of structure file: 
bafybeibd2h3o3m2r5gtslhq257a6wjenhluujilefixjxtnulnf4havcui/AF-C3PCL8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa5bBccF395a3ABe9B629B9f9f8fBd173cC6F75b8
First NFT owner address (bech32): 
genesis15kaueuu45w47nd3fh8ul3773w0xx7adc7y3tgz
Current NFT ID #148339 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
148339
Accession (UniProt):
C3PCL8
Name::
1,4-alpha-glucan branching enzyme GlgB
Experimental Method:
Predicted structure
Sequence source:
Bacillus anthracis (strain A0248)

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 C3PCL8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C3PCL8|GLGB_BACAA 1,4-alpha-glucan branching enzyme GlgB OS=Bacillus anthracis (strain A0248) OX=592021 GN=glgB PE=3 SV=1 MSVINCEEVKRDEFHTEKYYESYNIFGAHIVTEDEMRGVRFTVWAPHAKAMSVVGDFNEWDYEQHKMLQVTEEGIWSLFIPHIEEREIYKYAIETMAGDVIFKADPYAVYAEVRPNTASVVFDIKGYEWNDKNWSRKKKKKSVYKEAMTVYELHFGSWKKKEDGTLYSYREMAEELIPYVVEHQFTHIEIMPLVEHPYDRSWGYQGTGYYAATSRFGTPHDLMHFVDECHKYGIGVILDWVPGHFCKDAHGLYLFDGTPTYEYKDKDVQENPVWGTVNFDLGKREVRNFLISNALFWMRYFHIDGFRVDAVANMLYWNKEGQEQSNEHAVSFLRELNEAVFAEDEDFLMTAEDSTAWPLVTAPTYEGGLGFNYKWNMGWMNDVLKYMECAPEYRKYIHDKMTFSLLYAYSENFILPLSHDEVVHGKKSLLNKMPGDYWDKFAQLRLLYGYFFTHPGKKLLFMGGEFGQFDEWKDLEDLDWNLHDFEMHRYMHDYFKELIALYKRSKPLWQLDHSREGFQWIDANNNEQSIFSFIRQGDKQEDALVVVCNFTKATYENYKVGVPDFEYYNEVLNSDAEQYGGSGQVNKKRLKTFQEPYHNQTAHVEITIPPFGVSILRPVKTRKGSKKQDGSKTKVRSNVTSRGKR