Amyotrophic lateral sclerosis (ALS) is a devastating and universally fatal neurodegenerative disease. Mutations in two related RNA-binding proteins, TDP-43 and FUS, that harbor prion-like domains, cause some forms of ALS. There are at least 213 human proteins harboring RNA recognition motifs, including FUS and TDP-43, raising the possibility that additional RNA-binding proteins might contribute to ALS pathogenesis. We performed a systematic survey of these proteins to find additional candidates similar to TDP-43 and FUS, followed by bioinformatics to predict prion-like domains in a subset of them. We sequenced one of these genes, TAF15, in patients with ALS and identified missense variants, which were absent in a large number of healthy controls. These disease-associated variants of TAF15 caused formation of cytoplasmic foci when expressed in primary cultures of spinal cord neurons. Very similar to TDP-43 and FUS, TAF15 aggregated in vitro and conferred neurodegeneration in Drosophila, with the ALS-linked variants having a more severe effect than wild type. Immunohistochemistry of postmortem spinal cord tissue revealed mislocalization of TAF15 in motor neurons of patients with ALS. We propose that aggregationprone RNA-binding proteins might contribute very broadly to ALS pathogenesis and the genes identified in our yeast functional screen, coupled with prion-like domain prediction analysis, now provide a powerful resource to facilitate ALS disease gene discovery. I n the future, personalized genome sequencing will become routine, empowering us to define the genetic basis of many human diseases. Currently, however, complete genome sequencing for individuals to discover rare pathogenic mutations is still too costly and time consuming. Thus, more creative approaches are needed to accelerate the discovery of disease genes. Moreover, even once genes are revealed, the need for innovative approaches to elucidate causality remains critical.ALS, also known as Lou Gehrig's disease, is a devastating adultonset neurodegenerative disease that attacks upper and lower motor neurons (1). A progressive and ultimately fatal muscle paralysis ensues, usually causing death within 2-5 y of disease onset. ALS is mostly sporadic, but ∼10% of cases are familial. Pathogenic mutations in several genes have been linked to familial and sporadic ALS, including SOD1, TARDBP, FUS/TLS, VAPB, OPTN, VCP, and others (2). Two of these genes, TARDBP (TDP-43) and FUS/TLS (FUS) are notable because they encode related RNA-binding proteins that harbor a prion-like domain (3-6). Moreover, both of these proteins have been identified as components of pathological inclusions in neurons of patients with ALS (7-9). Indeed, an emerging concept suggested by the association of FUS and TDP-43 to ALS is that defects in RNA metabolism might contribute to disease pathogenesis. These observations suggested an intriguing possibility: Could TDP-43 and FUS be just the tip of an iceberg? In other words, could other human RNA-binding proteins with properties similar to th...

A prevalent observation in high-throughput screening and drug discovery programs is the inhibition of protein function by small-molecule compound aggregation. Here, we present the X-ray structural description of aggregation-based inhibition of a protein-protein interaction involving tumor necrosis factor α (TNFα). An ordered conglomerate of an aggregating small-molecule inhibitor (JNJ525) induces a quaternary structure switch of TNFα that inhibits the protein-protein interaction between TNFα and TNFα receptors. SPD-304 may employ a similar mechanism of inhibition.

Small‐molecule drug discovery can be hindered by the formation of aggregates that act as non‐selective inhibitors of drug targets. Such aggregates appear as false positives in high‐throughput screening campaigns and can bedevil structure‐activity relationships during compound optimization. Protocols are described for resonant waveguide grating (RWG) and dynamic light scattering (DLS) as microplate‐based high‐throughput approaches to identify compound aggregation. Resonant waveguide grating and dynamic light scattering give equivalent results for the compound test set, as assessed with Bland‐Altman analysis. © 2019 The Authors. Basic Protocol 1: Resonant waveguide grating (RWG) in 384‐well or 1536‐well plate format to detect compound aggregation Basic Protocol 2: Dynamic light scattering (DLS) in 384‐well plate format to detect compound aggregation

Since many projects at pharmaceutical organizations get their start from a high-throughput screening (HTS) campaign, improving the quality of the HTS deck can improve the likelihood of discovering a high-quality lead molecule that can be progressed to a drug candidate. Over the past decade, Janssen has implemented several strategies for external compound acquisition to augment the screening deck beyond the chemical space and number of molecules synthesized for internal projects. In this report, we analyzed the performance of each of those compound collections in the screening campaigns performed internally within Janssen during the last five years. We classified the screening library into two broad categories: Internal and External. The comparison of the performance of these sets of libraries was done by considering the primary, confirmation, and dose response hit rates. Our analysis revealed that Internal compounds (resulting from numerous medicinal chemistry efforts against diverse protein targets) have higher average confirmation hit rates than External ones; however, actives from both categories show similar probabilities of hitting multiple distinct targets. We also investigated the property landscape of both sets of libraries to identify the key elements which make a difference in these categories of compounds. From this analysis, Janssen aims to understand the descriptor landscape of the compounds with the highest hit rates and to use them for improving its future acquisition strategies as well as to inform our plating strategy.