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- EMDB-50522: Progesterone-bound DB3 Fab in complex with computationally design... -
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Open data
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Basic information
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Title | Progesterone-bound DB3 Fab in complex with computationally designed DBPro1156_2 protein binder | |||||||||
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![]() | progesterone / binder / de novo / Fab / anti-kappa / DE NOVO PROTEIN | |||||||||
Biological species | synthetic construct (others) | |||||||||
Method | single particle reconstruction / cryo EM / Resolution: 3.3 Å | |||||||||
![]() | Pacesa M / Marchand A / Correia BE | |||||||||
Funding support | ![]()
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![]() | ![]() Title: Targeting protein-ligand neosurfaces with a generalizable deep learning tool. Authors: Anthony Marchand / Stephen Buckley / Arne Schneuing / Martin Pacesa / Maddalena Elia / Pablo Gainza / Evgenia Elizarova / Rebecca M Neeser / Pao-Wan Lee / Luc Reymond / Yangyang Miao / Leo ...Authors: Anthony Marchand / Stephen Buckley / Arne Schneuing / Martin Pacesa / Maddalena Elia / Pablo Gainza / Evgenia Elizarova / Rebecca M Neeser / Pao-Wan Lee / Luc Reymond / Yangyang Miao / Leo Scheller / Sandrine Georgeon / Joseph Schmidt / Philippe Schwaller / Sebastian J Maerkl / Michael Bronstein / Bruno E Correia / ![]() ![]() ![]() ![]() Abstract: Molecular recognition events between proteins drive biological processes in living systems. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are ...Molecular recognition events between proteins drive biological processes in living systems. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are conditioned to small molecules. Despite recent advances, computational tools for the design of new chemically induced protein interactions have remained a challenging task for the field. Here we present a computational strategy for the design of proteins that target neosurfaces, that is, surfaces arising from protein-ligand complexes. To develop this strategy, we leveraged a geometric deep learning approach based on learned molecular surface representations and experimentally validated binders against three drug-bound protein complexes: Bcl2-venetoclax, DB3-progesterone and PDF1-actinonin. All binders demonstrated high affinities and accurate specificities, as assessed by mutational and structural characterization. Remarkably, surface fingerprints previously trained only on proteins could be applied to neosurfaces induced by interactions with small molecules, providing a powerful demonstration of generalizability that is uncommon in other deep learning approaches. We anticipate that such designed chemically induced protein interactions will have the potential to expand the sensing repertoire and the assembly of new synthetic pathways in engineered cells for innovative drug-controlled cell-based therapies. | |||||||||
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Structure visualization
Supplemental images |
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Downloads & links
-EMDB archive
Map data | ![]() | 88.5 MB | ![]() | |
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Header (meta data) | ![]() ![]() | 25 KB 25 KB | Display Display | ![]() |
FSC (resolution estimation) | ![]() | 12 KB | Display | ![]() |
Images | ![]() | 108.7 KB | ||
Masks | ![]() | 178 MB | ![]() | |
Filedesc metadata | ![]() | 7 KB | ||
Others | ![]() ![]() | 165.3 MB 165.3 MB | ||
Archive directory | ![]() ![]() | HTTPS FTP |
-Related structure data
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Links
EMDB pages | ![]() ![]() |
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Map
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Projections & slices | Image control
Images are generated by Spider. | ||||||||||||||||||||||||||||||||||||
Voxel size | X=Y=Z: 0.658 Å | ||||||||||||||||||||||||||||||||||||
Density |
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Symmetry | Space group: 1 | ||||||||||||||||||||||||||||||||||||
Details | EMDB XML:
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-Supplemental data
-Mask #1
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Density Histograms |
-Half map: #1
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Density Histograms |
-Half map: #2
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Density Histograms |
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Sample components
-Entire : Progesterone-bound DB3 Fab in complex with computationally design...
Entire | Name: Progesterone-bound DB3 Fab in complex with computationally designed DBPro1156_2 protein binder |
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Components |
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-Supramolecule #1: Progesterone-bound DB3 Fab in complex with computationally design...
Supramolecule | Name: Progesterone-bound DB3 Fab in complex with computationally designed DBPro1156_2 protein binder type: complex / ID: 1 / Parent: 0 / Macromolecule list: #1-#5 |
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Source (natural) | Organism: synthetic construct (others) |
Molecular weight | Theoretical: 107.61566 KDa |
-Macromolecule #1: De novo designed DBPro1156_2 binder
Macromolecule | Name: De novo designed DBPro1156_2 binder / type: protein_or_peptide / ID: 1 / Number of copies: 1 / Enantiomer: LEVO |
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Source (natural) | Organism: synthetic construct (others) |
Molecular weight | Theoretical: 8.087193 KDa |
Recombinant expression | Organism: ![]() ![]() |
Sequence | String: DEKAKTAETL IWQLFGKAMQ QSDPNEAEKL LKKAEELAKK ANDPRLEQVV RQHQVVVRFL VGGSHHHHHH |
-Macromolecule #2: DB3 Fab Heavy chain
Macromolecule | Name: DB3 Fab Heavy chain / type: protein_or_peptide / ID: 2 / Number of copies: 1 / Enantiomer: LEVO |
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Source (natural) | Organism: synthetic construct (others) |
Molecular weight | Theoretical: 25.93093 KDa |
Recombinant expression | Organism: ![]() |
Sequence | String: ETGQIQLVQS GPELKKPGET VKISCKASGY AFTNYGVNWV KEAPGKELKW MGWINIYTGE PTYVDDFKGR FAFSLETSAS TAYLEINNL KNEDTATYFC TRGDYVNWYF DVWGAGTTVT VSSASTKGPS VFPLAPSSKS TSGGTAALGC LVKDYFPEPV T VSWNSGAL ...String: ETGQIQLVQS GPELKKPGET VKISCKASGY AFTNYGVNWV KEAPGKELKW MGWINIYTGE PTYVDDFKGR FAFSLETSAS TAYLEINNL KNEDTATYFC TRGDYVNWYF DVWGAGTTVT VSSASTKGPS VFPLAPSSKS TSGGTAALGC LVKDYFPEPV T VSWNSGAL TSGVHTFPAV LQSSGLYSLS SVVTVPSSSL GTQTYICNVN HKPSNTKVDK KVEPKSCDKT HTGTKHHHHH H |
-Macromolecule #3: DB3 Fab Light Chain
Macromolecule | Name: DB3 Fab Light Chain / type: protein_or_peptide / ID: 3 / Number of copies: 1 / Enantiomer: LEVO |
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Source (natural) | Organism: synthetic construct (others) |
Molecular weight | Theoretical: 24.332191 KDa |
Recombinant expression | Organism: ![]() |
Sequence | String: ETGDVVMTQI PLSLPVSLGE QASISCRSSQ SLIHSNGNTY LHWYLQKPGQ SPKLLMYKVS NRFYGVPDRF SGSGSGTDFT LKISRVEAE DLGIYFCSQS SHVPPTFGGG TKLEIKRTVA APSVFIFPPS DEQLKSGTAS VVCLLNNFYP REAKVQWKVD N ALQSGNSQ ...String: ETGDVVMTQI PLSLPVSLGE QASISCRSSQ SLIHSNGNTY LHWYLQKPGQ SPKLLMYKVS NRFYGVPDRF SGSGSGTDFT LKISRVEAE DLGIYFCSQS SHVPPTFGGG TKLEIKRTVA APSVFIFPPS DEQLKSGTAS VVCLLNNFYP REAKVQWKVD N ALQSGNSQ ESVTEQDSKD STYSLSSTLT LSKADYEKHK VYACEVTHQG LSSPVTKSFN RGEC |
-Macromolecule #4: Anti-kappa Fab Light Chain
Macromolecule | Name: Anti-kappa Fab Light Chain / type: protein_or_peptide / ID: 4 / Number of copies: 1 / Enantiomer: LEVO |
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Source (natural) | Organism: synthetic construct (others) |
Molecular weight | Theoretical: 24.11568 KDa |
Recombinant expression | Organism: ![]() |
Sequence | String: ETGSIVMTQT PKFLFVSAGD RVTITCKASQ SVSNDVEWYQ QKPGQSPKLM IYFASKRYNG VPDRFTGSGF GTEFTFTIST VQAEDLAVY FCQQDYSSPW TFGGGTKLEI KRADAAPTVS IFPPSSEQLT SGGASVVCFL NNFYPKDINV KWKIDGSERQ N GVLNSWTD ...String: ETGSIVMTQT PKFLFVSAGD RVTITCKASQ SVSNDVEWYQ QKPGQSPKLM IYFASKRYNG VPDRFTGSGF GTEFTFTIST VQAEDLAVY FCQQDYSSPW TFGGGTKLEI KRADAAPTVS IFPPSSEQLT SGGASVVCFL NNFYPKDINV KWKIDGSERQ N GVLNSWTD QDSKDSTYSM SSTLTLTKDE YERHNSYTCE ATHKTSTSPI VKSFNRGEC |
-Macromolecule #5: Anti-kappa Fab Heavy Chain
Macromolecule | Name: Anti-kappa Fab Heavy Chain / type: protein_or_peptide / ID: 5 / Number of copies: 1 / Enantiomer: LEVO |
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Source (natural) | Organism: synthetic construct (others) |
Molecular weight | Theoretical: 25.346602 KDa |
Recombinant expression | Organism: ![]() |
Sequence | String: ETGEVKLLES GGGLVQPGRS LRLSCIASGF DFSGYWMTWV RQAPGKGLEW IGDINPDSST INSTPSLKDK VIISRDNAKN TLFLQMSKV RSEDTALYYC AQRGNYVPFP YWGQGTLVTV SAAKTTPPSV YPLAPGSAAQ TNSMVTLGCL VKGYFPEPVT V TWNSGSLS ...String: ETGEVKLLES GGGLVQPGRS LRLSCIASGF DFSGYWMTWV RQAPGKGLEW IGDINPDSST INSTPSLKDK VIISRDNAKN TLFLQMSKV RSEDTALYYC AQRGNYVPFP YWGQGTLVTV SAAKTTPPSV YPLAPGSAAQ TNSMVTLGCL VKGYFPEPVT V TWNSGSLS SGVHTFPAVL QSDLYTLSSS VTVPSSTWPS ETVTCNVAHP ASSTKVDKKI VPRDCGCKGT KHHHHHH |
-Macromolecule #6: PROGESTERONE
Macromolecule | Name: PROGESTERONE / type: ligand / ID: 6 / Number of copies: 1 / Formula: STR |
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Molecular weight | Theoretical: 314.462 Da |
Chemical component information | ![]() ChemComp-STR: |
-Experimental details
-Structure determination
Method | cryo EM |
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![]() | single particle reconstruction |
Aggregation state | particle |
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Sample preparation
Concentration | 3.9 mg/mL |
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Buffer | pH: 7.5 |
Grid | Model: Quantifoil / Material: GOLD / Mesh: 300 / Pretreatment - Type: GLOW DISCHARGE |
Vitrification | Cryogen name: ETHANE / Chamber humidity: 95 % / Chamber temperature: 283.15 K / Instrument: FEI VITROBOT MARK IV |
Details | DB3 Fab and anti-Kappa Fab were pre-purified on SEC, while DBPro1156_2 de novo binder was added in 3-fold excess before grid freezing |
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Electron microscopy
Microscope | TFS KRIOS |
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Temperature | Min: 186.0 K / Max: 192.0 K |
Image recording | Film or detector model: FEI FALCON IV (4k x 4k) / Digitization - Dimensions - Width: 4096 pixel / Digitization - Dimensions - Height: 4096 pixel / Average electron dose: 60.0 e/Å2 |
Electron beam | Acceleration voltage: 300 kV / Electron source: ![]() |
Electron optics | C2 aperture diameter: 50.0 µm / Illumination mode: FLOOD BEAM / Imaging mode: BRIGHT FIELD / Cs: 2.7 mm / Nominal defocus max: 2.4 µm / Nominal defocus min: 1.2 µm |
Sample stage | Cooling holder cryogen: NITROGEN |
Experimental equipment | ![]() Model: Titan Krios / Image courtesy: FEI Company |