B7JDF1 AF NFT

1,4-alpha-glucan branching enzyme GlgB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifj2gjnndolzthm4nm27tzrewienkh7z3x5nedyuyxblgmca34ire/metadata.json
IPFS of structure file: 
bafybeig2hyb4is65fg5rknaogfpdfhseouqehondgowljzhowl3xteqa6e/AF-B7JDF1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x424a4247310f74015Ec0796544158557b6b0f7eD
First NFT owner address (bech32): 
genesis1gf9yy3e3pa6qzhkq09j5g9v927mtpald3auaxy
Current NFT ID #148342 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
148342
Accession (UniProt):
B7JDF1
Name::
1,4-alpha-glucan branching enzyme GlgB
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain AH820)

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 B7JDF1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7JDF1|GLGB_BACC0 1,4-alpha-glucan branching enzyme GlgB OS=Bacillus cereus (strain AH820) OX=405535 GN=glgB PE=3 SV=1 MSVINCEEVKRDEFHTEKYYESYNIFGAHIVTEDEMRGVRFTVWAPHAKAMSVVGDFNEWDYEQHKMLQVTEEGIWSLFIPHIEEREIYKYAIETMAGDVIFKADPYAVYAEVRPNTASVVFDIKGYEWNDKNWSRKKKKKSVYKEAMTVYELHFGSWKKKEDGTLYSYREMAEELIPYVVEHQFTHIEIMPLVEHPYDRSWGYQGTGYYAATSRFGTPYDLMHFVDECHKYGIGVILDWVPGHFCKDAHGLYLFDGTPTYEYKDKDVQENPVWGTVNFDLGKREVRNFLISNALFWMRYFHIDGFRVDAVANMLYWNKEGQEQSNEHAVSFLRELNEAVFAEDEDFLMTAEDSTAWPLVTAPTYEGGLGFNYKWNMGWMNDVLKYMECAPEYRKYIHDKMTFSLLYAYSENFILPLSHDEVVHGKKSLLNKMPGDYWDKFAQLRLLYGYFFTHPGKKLLFMGGEFGQFDEWKDLEDLDWNLHDFEMHRYMHDYFKELIALYKRSKPLWQLDHSREGFQWIDANNNEQSIFSFIRQGDKQEDALVVVCNFTKATYENYKVGVPDFEYYNEILNSDAEQYGGSGQVNKKRLKTIQEPYHNQTAHVEITIPPFGVSILRPVKTRKGSKKQDGSKTKVRSNVTSRGKR