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Featured researches published by Raymond Sweet.


Proteins | 2014

Second antibody modeling assessment (AMA‐II)

Juan Carlos Almagro; Alexey Teplyakov; Jinquan Luo; Raymond Sweet; Sreekumar Kodangattil; Francisco Hernandez-Guzman; Gary L. Gilliland

To assess the state of the art in antibody 3D modeling, 11 unpublished high‐resolution x‐ray Fab crystal structures from diverse species and covering a wide range of antigen‐binding site conformations were used as a benchmark to compare Fv models generated by seven structure prediction methodologies. The participants included: Accerlys Inc, Chemical Computer Group (CCG), Schrodinger, Jeff Grays lab at John Hopkins University, Macromoltek, Astellas Pharma/Osaka University and Prediction of ImmunoGlobulin Structure (PIGS). The sequences of benchmark structures were submitted to the modelers and PIGS, and a set of models were generated for each structure. We provide here an overview of the organization, participants and main results of this second antibody modeling assessment (AMA‐II). Also, we compare the results with the first antibody assessment published in this journal (Almagro et al., 2011;79:3050). Proteins 2014; 82:1553–1562.


Proteins | 2014

Antibody modeling assessment II. Structures and models.

Alexey Teplyakov; Jinquan Luo; Galina Obmolova; Thomas J. Malia; Raymond Sweet; Robyn L. Stanfield; Sreekumar Kodangattil; Juan Carlos Almagro; Gary L. Gilliland

To assess the state‐of‐the‐art in antibody structure modeling, a blinded study was conducted. Eleven unpublished Fab crystal structures were used as a benchmark to compare Fv models generated by seven structure prediction methodologies. In the first round, each participant submitted three non‐ranked complete Fv models for each target. In the second round, CDR‐H3 modeling was performed in the context of the correct environment provided by the crystal structures with CDR‐H3 removed. In this report we describe the reference structures and present our assessment of the models. Some of the essential sources of errors in the predictions were traced to the selection of the structure template, both in terms of the CDR canonical structures and VL/VH packing. On top of this, the errors present in the Protein Data Bank structures were sometimes propagated in the current models, which emphasized the need for the curated structural database devoid of errors. Modeling non‐canonical structures, including CDR‐H3, remains the biggest challenge for antibody structure prediction. Proteins 2014; 82:1563–1582.


Journal of Molecular Biology | 2012

Lateral Clustering of TLR3:dsRNA Signaling Units Revealed by TLR3ecd:3Fabs Quaternary Structure.

Jinquan Luo; Galina Obmolova; Thomas J. Malia; Sheng-Jiun Wu; Karen E. Duffy; James D. Marion; Jessica K. Bell; Peng Ge; Z. Hong Zhou; Alexey Teplyakov; Yonghong Zhao; Roberta Lamb; Jarrat Jordan; Lani San Mateo; Raymond Sweet; Gary L. Gilliland

Toll-like receptor 3 (TLR3) recognizes dsRNA and initiates an innate immune response through the formation of a signaling unit (SU) composed of one double-stranded RNA (dsRNA) and two TLR3 molecules. We report the crystal structure of human TLR3 ectodomain (TLR3ecd) in a quaternary complex with three neutralizing Fab fragments. Fab15 binds an epitope that overlaps the C-terminal dsRNA binding site and, in biochemical assays, blocks the interaction of TLR3ecd with dsRNA, thus directly antagonizing TLR3 signaling through inhibition of SU formation. In contrast, Fab12 and Fab1068 bind TLR3ecd at sites distinct from the N- and C-terminal regions that interact with dsRNA and do not inhibit minimal SU formation with short dsRNA. Molecular modeling based on the co-structure rationalizes these observations by showing that both Fab12 and Fab1068 prevent lateral clustering of SUs along the length of the dsRNA ligand. This model is further supported by cell-based assay results using dsRNA ligands of lengths that support single and multiple SUs. Thus, their antagonism of TLR3 signaling indicates that lateral clustering of SUs is required for TLR3 signal transduction.


Proteins | 2016

Epitope mapping and structural basis for the recognition of phosphorylated tau by the anti-tau antibody AT8.

Thomas J. Malia; Alexey Teplyakov; Robin Ernst; Sheng-Jiun Wu; Eilyn R. Lacy; Xuesong Liu; Marc Vandermeeren; Marc Mercken; Jinquan Luo; Raymond Sweet; Gary L. Gilliland

Microtubule‐associated protein tau becomes abnormally phosphorylated in Alzheimers disease and other tauopathies and forms aggregates of paired helical filaments (PHF‐tau). AT8 is a PHF‐tau‐specific monoclonal antibody that is a commonly used marker of neuropathology because of its recognition of abnormally phosphorylated tau. Previous reports described the AT8 epitope to include pS202/pT205. Our studies support and extend previous findings by also identifying pS208 as part of the binding epitope. We characterized the phosphoepitope of AT8 through both peptide binding studies and costructures with phosphopeptides. From the cocrystal structure of AT8 Fab with the diphosphorylated (pS202/pT205) peptide, it appeared that an additional phosphorylation at S208 would also be accommodated by AT8. Phosphopeptide binding studies showed that AT8 bound to the triply phosphorylated tau peptide (pS202/pT205/pS208) 30‐fold stronger than to the pS202/pT205 peptide, supporting the role of pS208 in AT8 recognition. We also show that the binding kinetics of the triply phosphorylated peptide pS202/pT205/pS208 was remarkably similar to that of PHF‐tau. The costructure of AT8 Fab with a pS202/pT205/pS208 peptide shows that the interaction interface involves all six CDRs and tau residues 202–209. All three phosphorylation sites are recognized by AT8, with pT205 acting as the anchor. Crystallization of the Fab/peptide complex under acidic conditions shows that CDR‐L2 is prone to unfolding and precludes peptide binding, and may suggest a general instability in the antibody. Proteins 2016; 84:427–434.


Molecular Immunology | 2012

Structural basis for high selectivity of anti-CCL2 neutralizing antibody CNTO 888.

Galina Obmolova; Alexey Teplyakov; Thomas J. Malia; Tami L. R. Grygiel; Raymond Sweet; Linda A. Snyder; Gary L. Gilliland

Human CC chemokine ligand 2 (CCL2), also known as monocyte chemoattractant protein-1 (MCP-1), is a member of the β chemokine family whose actions are mediated through the G-protein-coupled receptor CCR2. Binding of CCL2 to its receptor CCR2 triggers calcium mobilization and chemotaxis. CCL2 is implicated in the pathogenesis of certain inflammatory diseases and cancer. CNTO 888, a neutralizing human anti-CCL2 antibody, was derived by antibody phage display. The antibody binds human CCL2 with high affinity (K(D)=22 pM) and inhibits CCL2 binding to its receptor. The crystal structure of the CNTO 888 Fab alone and in complex with the monomeric form of CCL2 (P8A variant) was determined at 2.6 Å and 2.8 Å resolution, respectively. CNTO 888 recognizes a conformational epitope encompassing residues 18-24 and 45-51 that overlaps the mapped receptor binding site. The epitope of CNTO 888 does not overlap with the dimerization site of CCL2, and thus its inhibitory activity is not expected to result from interference with the oligomeric state of CCL2. Comparison of the X-ray-determined epitopes of CNTO 888 and another CCL2-neutralizing antibody, 11K2, provides insight into the molecular basis of antibody selectivity and functional inhibition.


Acta Crystallographica Section F-structural Biology and Crystallization Communications | 2014

Protein crystallization with microseed matrix screening: application to human germline antibody Fabs

Galina Obmolova; Thomas J. Malia; Alexey Teplyakov; Raymond Sweet; Gary L. Gilliland

The power of microseed matrix screening is demonstrated in the crystallization of a panel of antibody Fab fragments.


mAbs | 2016

Structural diversity in a human antibody germline library.

Alexey Teplyakov; Galina Obmolova; Thomas J. Malia; Jinquan Luo; Salman Muzammil; Raymond Sweet; Juan Carlos Almagro; Gary L. Gilliland

ABSTRACT To support antibody therapeutic development, the crystal structures of a set of 16 germline variants composed of 4 different kappa light chains paired with 4 different heavy chains have been determined. All four heavy chains of the antigen-binding fragments (Fabs) have the same complementarity-determining region (CDR) H3 that was reported in an earlier Fab structure. The structure analyses include comparisons of the overall structures, canonical structures of the CDRs and the VH:VL packing interactions. The CDR conformations for the most part are tightly clustered, especially for the ones with shorter lengths. The longer CDRs with tandem glycines or serines have more conformational diversity than the others. CDR H3, despite having the same amino acid sequence, exhibits the largest conformational diversity. About half of the structures have CDR H3 conformations similar to that of the parent; the others diverge significantly. One conclusion is that the CDR H3 conformations are influenced by both their amino acid sequence and their structural environment determined by the heavy and light chain pairing. The stem regions of 14 of the variant pairs are in the ‘kinked’ conformation, and only 2 are in the extended conformation. The packing of the VH and VL domains is consistent with our knowledge of antibody structure, and the tilt angles between these domains cover a range of 11 degrees. Two of 16 structures showed particularly large variations in the tilt angles when compared with the other pairings. The structures and their analyses provide a rich foundation for future antibody modeling and engineering efforts.


Molecular Immunology | 2017

Epitope-dependent mechanisms of CD27 neutralization revealed by X-ray crystallography

Galina Obmolova; Alexey Teplyakov; Thomas J. Malia; Nicole Wunderler; Deborah Kwok; Linda Barone; Raymond Sweet; Tatiana Ort; Michael Scully; Gary L. Gilliland

&NA; CD27 is a T and B cell co‐stimulatory protein of the TNF receptor superfamily dependent on the availability of the TNF‐like ligand CD70. Two anti‐CD27 neutralizing monoclonal antibodies were obtained from mouse hybridoma and subsequently humanized and optimized for binding the target. The two antibodies are similar in terms of their CD27‐binding affinity and ability to block NF‐&kgr;B signaling, however their clearance rates in monkeys are very different. The pharmacokinetics profiles could be epitope dependent. To identify the epitopes, we determined the crystal structure of the ternary complex between CD27 and the Fab fragments of these non‐competing antibodies. The structure reveals the binding modes of the antibodies suggesting that their mechanisms of action are distinctly different and provides a possible explanation of the in vivo data. Graphical abstract Figure. No caption available. HighlightsTwo anti‐CD27 antibodies exhibit distinctly different pharmacokinetics in monkeys.Crystal structure of CD27 with both mAbs reveals their non‐overlapping epitopes.The different neutralization mechanisms of the two mAbs are linked to the epitopes.


Proteins | 2015

Induced conformational change in human IL‐4 upon binding of a signal‐neutralizing DARPin

Galina Obmolova; Alexey Teplyakov; Thomas J. Malia; Edward Keough; Jinquan Luo; Raymond Sweet; Steven Jacobs; Fang Yi; Randi Hippensteel; Karyn O'neil; Gary L. Gilliland

The crystal structure of DARPin 44C12V5 that neutralizes IL‐4 signaling has been determined alone and bound to human IL‐4. A significant conformational change occurs in the IL‐4 upon DARPin binding. The DARPin binds to the face of IL‐4 formed by the A and C α‐helices. The structure of the DARPin remains virtually unchanged. The conformational changes in IL‐4 include a reorientation of the C‐helix Trp91 side chain and repositioning of CD‐loop residue Leu96. Both side chains move by >9 Å, becoming buried in the central hydrophobic region of the IL‐4:DARPin interface. This hydrophobic region is surrounded by a ring of hydrophilic interactions comprised of hydrogen bonds and salt bridges and represents a classical “hotspot.” The structures also reveal how the DARPin neutralizes IL‐4 signaling. Comparing the IL‐4:DARPin complex structure with the structures of IL‐4 bound to its receptors (Hage et al., Cell 1999; 97, 271‐281; La Porte et al., Cell 2008, 132, 259‐272), it is found that the DARPin binds to the same IL‐4 face that interacts with the junction of the D1 and D2 domains of the IL‐4Rα receptors. Signaling is blocked since IL‐4 cannot bind to this receptor, which it must do first before initiating a productive receptor complex with either the IL‐13α1 or the γc receptor. Proteins 2015; 83:1191–1197.


Archive | 2006

Anti-IL-23 antibodies, compositions, methods and uses

Jacqueline Benson; Mark Cunningham; Cynthia Duchala; Jill Giles-Komar; Jinquan Luo; Michael Rycyzyn; Raymond Sweet

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Mark Rutz

Janssen Pharmaceutica

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