Michael Battles

Molecular mechanism of respiratory syncytial virus fusion inhibitors.

Respiratory syncytial virus (RSV) is a leading cause of pneumonia and bronchiolitis in young children and the elderly. Therapeutic small molecules have been developed that bind the RSV F glycoprotein and inhibit membrane fusion, yet their binding sites and molecular mechanisms of action remain largely unknown. Here we show that these inhibitors bind to a three-fold-symmetric pocket within the central cavity of the metastable prefusion conformation of RSV F. Inhibitor binding stabilizes this conformation by tethering two regions that must undergo a structural rearrangement to facilitate membrane fusion. Inhibitor-escape mutations occur in residues that directly contact the inhibitors or are involved in the conformational rearrangements required to accommodate inhibitor binding. Resistant viruses do not propagate as well as wild-type RSV in vitro, indicating a fitness cost for inhibitor escape. Collectively, these findings provide new insight into class I viral fusion proteins and should facilitate development of optimal RSV fusion inhibitors.

Therapeutic efficacy of a respiratory syncytial virus fusion inhibitor

Respiratory syncytial virus is a major cause of acute lower respiratory tract infection in young children, immunocompromised adults, and the elderly. Intervention with small-molecule antivirals specific for respiratory syncytial virus presents an important therapeutic opportunity, but no such compounds are approved today. Here we report the structure of JNJ-53718678 bound to respiratory syncytial virus fusion (F) protein in its prefusion conformation, and we show that the potent nanomolar activity of JNJ-53718678, as well as the preliminary structure–activity relationship and the pharmaceutical optimization strategy of the series, are consistent with the binding mode of JNJ-53718678 and other respiratory syncytial virus fusion inhibitors. Oral treatment of neonatal lambs with JNJ-53718678, or with an equally active close analog, efficiently inhibits established acute lower respiratory tract infection in the animals, even when treatment is delayed until external signs of respiratory syncytial virus illness have become visible. Together, these data suggest that JNJ-53718678 is a promising candidate for further development as a potential therapeutic in patients at risk to develop respiratory syncytial virus acute lower respiratory tract infection.Respiratory syncytial virus causes lung infections in children, immunocompromised adults, and in the elderly. Here the authors show that a chemical inhibitor to a viral fusion protein is effective in reducing viral titre and ameliorating infection in rodents and neonatal lambs.

Directed evolution of a yeast-displayed HIV-1 SOSIP gp140 spike protein toward improved expression and affinity for conformational antibodies.

Design of an envelope-based immunogen capable of inducing a broadly neutralizing antibody response is thought to be key to the development of a protective HIV-1 vaccine. However, the broad diversity of viral variants and a limited ability to produce native envelope have hampered such design efforts. Here we describe adaptation of the yeast display system and use of a combinatorial protein engineering approach to permit directed evolution of HIV envelope variants. Because the intrinsic instability and complexity of this trimeric glycoprotein has greatly impeded the development of immunogens that properly represent the structure of native envelope, this platform addresses an essential need for methodologies with the capacity to rapidly engineer HIV spike proteins towards improved homogeneity, stability, and presentation of neutralizing epitopes. We report for the first time the display of a designed SOSIP gp140 on yeast, and the in vitro evolution of derivatives with greatly improved expression and binding to conformation-dependent antibodies. These efforts represent an initial and critical step toward the ability to rapidly engineer HIV-1 envelope immunogens via directed evolution.

NKG2D Ligand–Targeted Bispecific T-Cell Engagers Lead to Robust Antitumor Activity against Diverse Human Tumors

Two new bispecific T-cell engaging (BiTE) molecules with specificity for NKG2D ligands were developed and functionally characterized. One, huNKG2D-OKT3, was derived from the extracellular portion of the human NKG2D receptor fused to a CD3ϵ binding single-chain variable fragment (scFv), known as OKT3. NKG2D has multiple ligands, including MICA, which are expressed by a variety of malignant cells. A second molecule, B2-OKT3, was created in the tandem scFv BiTE format that targets MICA on tumor cells and CD3ϵ on human T cells. Both BiTEs specifically activated T cells to kill human tumor cell lines. Cytotoxicity by B2-OKT3, but not huNKG2D-OKT3, is blocked by soluble rMICA. The huNKG2D-OKT3 induced greater T-cell cytokine production in comparison with B2-OKT3. No T-cell pretreatment was required for IFNγ production upon coculture of B2-OKT3 or huNKG2D-OKT3 with T cells and target cells. The effector memory T-cell compartment was the primary source of IFNγ, and culture of T cells and these BiTEs with plate-bound rMICA showed ligand density–dependent production of IFNγ from both CD4+ and CD8+ T cells. There was 2-fold more IFNγ produced per CD8+ T cell and 5-fold greater percentage of CD8+ T cells producing IFNγ compared with CD4+ T cells. In addition, both BiTEs elicited significant antitumor responses against human metastatic melanoma tumor samples using autologous or healthy donor T cells. These data demonstrate the robust antitumor activity of these NKG2D ligand–binding bispecific proteins and support their further development for clinical use. Mol Cancer Ther; 16(7); 1335–46. ©2017 AACR.

Automated method for iterative optimization of macromolecular crystallization screens

Major technological advances have increased the throughput of macromolecular crystallography, however, in many cases the identification of favorable crystallization conditions remains the rate-limiting step. Here, we present an automated method for the optimization of crystallization screens that iteratively adjusts precipitant concentrations based on the results of previous crystallization trials. In this Iterative Screen Optimization (ISO) method, the outcome of each crystallization experiment is visualized and manually scored using the program RockMaker. The scores are then used to generate a new crystallization screen by adjusting the precipitant concentrations of each reservoir solution to achieve a metastable macromolecular solution that favors crystal nucleation and growth. To facilitate the application of this method, we designed a crystallization screen comprising fifteen stock solutions of commercially available reagents that could be iteratively optimized using a Formulator liquid-handling device. We then assessed this screen and the ISO method on a set of six proteins that included several wellestablished crystallization standards. For all proteins evaluated, successive rounds of optimization produced a substantial increase in the number of crystallization hits. These results demonstrate that the ISO method is an efficient approach to maximizing the probability of obtaining crystals of a macromolecule from a limited set of reagents.