AutoPH4: An Automated Method for Generating Pharmacophore Models from Protein Binding Pockets.

Pharmacophore models are widely used in computational drug discovery (e.g., in the virtual screening of drug molecules) to capture essential information about interactions between ligands and a target protein. Generating pharmacophore models from protein structures is typically a manual process, but there has been growing interest in automated pharmacophore generation methods. Automation makes feasible the processing of large numbers of protein conformations, such as those generated by molecular dynamics (MD) simulations, and thus may help achieve the longstanding goal of incorporating protein flexibility into virtual screening workflows. Here, we present AutoPH4, a new automated method for generating pharmacophore models based on protein structures; we show that a virtual screening workflow incorporating AutoPH4 ranks compounds more accurately than any other pharmacophore-based virtual screening workflow for which results on a public benchmark have been reported. The strong performance of the virtual screening workflow indicates that the AutoPH4 component of the workflow generates high-quality pharmacophores, making AutoPH4 promising for use in future virtual screening workflows as well, such as ones that use conformations generated by MD simulations.

Structural basis for germline antibody recognition of HIV-1 immunogens.

Efforts to elicit broadly neutralizing antibodies (bNAbs) against HIV-1 require understanding germline bNAb recognition of HIV-1 envelope glycoprotein (Env). The VRC01-class bNAb family derived from the VH1-2*02 germline allele arose in multiple HIV-1-infected donors, yet targets the CD4-binding site on Env with common interactions. Modified forms of the 426c Env that activate germline-reverted B cell receptors are candidate immunogens for eliciting VRC01-class bNAbs. We present structures of germline-reverted VRC01-class bNAbs alone and complexed with 426c-based gp120 immunogens. Germline bNAb-426c gp120 complexes showed preservation of VRC01-class signature residues and gp120 contacts, but detectably different binding modes compared to mature bNAb-gp120 complexes. Unlike typical antibody-antigen interactions, VRC01-class germline antibodies exhibited preformed antigen-binding conformations for recognizing immunogens. Affinity maturation introduced substitutions increasing induced-fit recognition and electropositivity, potentially to accommodate negatively-charged complex-type N-glycans on gp120. These results provide general principles relevant to the unusual evolution of VRC01-class bNAbs and guidelines for structure-based immunogen design.

Design and characterization of structured protein linkers with differing flexibilities.

Engineered fusion proteins containing two or more functional polypeptides joined by a peptide or protein linker are important for many fields of biological research. The separation distance between functional units can impact epitope access and the ability to bind with avidity; thus the availability of a variety of linkers with different lengths and degrees of rigidity would be valuable for protein design efforts. Here, we report a series of designed structured protein linkers incorporating naturally occurring protein domains and compare their properties to commonly used Gly4Ser repeat linkers. When incorporated into the hinge region of an immunoglobulin G (IgG) molecule, flexible Gly4Ser repeats did not result in detectable extensions of the IgG antigen-binding domains, in contrast to linkers including more rigid domains such as ß2-microglobulin, Zn-α2-glycoprotein and tetratricopeptide repeats. This study adds an additional set of linkers with varying lengths and rigidities to the available linker repertoire, which may be useful for the construction of antibodies with enhanced binding properties or other fusion proteins.