TSAR, “Thermal Shift Analysis in R”, identifies endogenous molecules that interact with HIV-1 capsid hexamers

The thermal shift assay (TSA) is a versatile biophysical technique for studying protein-ligand interactions in vitro . Here, we report a free, open-source software tool, TSAR (“Thermal Shift Analysis in R”), to expedite the analysis of TSA data. The TSAR package incorporates multiple workflows that facilitate TSA analyses, returns publication-ready graphics, and includes an optional graphic user interface. The package is available at https://bioconductor.org/packages/TSAR/ . Applying TSAR, we screened two chemical libraries and found multiple molecules that potentially interact in vitro with the capsid protein (CA) of human immunodeficiency virus type 1 (HIV-1). First, a library of vitamins exemplifies the different graphic outputs of TSAR, and we report a change in the 50% melting temperature (ΔT m ) for folic acid-treated CA hexamers (CA HEX ). Since HIV-1 CA HEX interacts with host-derived acids like inositol hexaphosphate (IP6) or dNTPs, a second library was screened containing 96 organic, acidic metabolites; multiple anionic ligands caused a ΔT m for CA HEX . Subsequent investigation of these interactions includes biolayer interferometry, antiviral activity against pseudotyped HIV-1, and endogenous reverse transcriptase assays that were used to validate and investigate the biological impact of these native ligands that thermally-stabilize CA HEX . One compound hit, gallic acid, exhibited anti–HIV-1 activity as previously reported, and we show interacts with CA HEX as a potentially novel mechanism. Overall, the TSAR package facilitated quick analysis of TSA data from multiple libraries to help identify a biologically relevant hit, gallic acid, as a molecule that can inhibit HIV-1 replication and targets CA HEX . Importance The TSAR package is freely available (AGPL-3) and is designed for both experienced or new R users, having command-line code for handling large and challenging datasets while also including an optional GUI that enables easy use by non-programmers. This is the first TSA analysis program written in R, a free and open-source language; TSAR simplifies TSA analysis while maintaining diverse visualization options for small-to-large libraries and multidimensional analysis. Additionally, we report multiple endogenous metabolites that potentially interact with the HIV-1 capsid protein hexamers (CA HEX ) in vitro , including folic acid, gallic acid, and multiple others, primarily from the tricarboxylic acid (TCA) cycle. Various methods validate gallic acid interactions with CA HEX , leading to a novel suggested mechanism of action, and in-line with previous reports, this metabolite has potential for natural-based treatments of HIV-1. Further, we advance the understanding of the potential mechanism(s) for HIV-1 inhibition by gallic acid treatment.