Targets For Drug Discovery Research Articles

Future perspectives of emerging novel drug targets and immunotherapies to control drug addiction.

Substance Use Disorder (SUD) is one of the major mental illnesses that is terrifically intensifying worldwide. It is becoming overwhelming due to limited options for treatment. The complexity of addiction disorders is the main impediment to understanding the pathophysiology of the illness. Hence, unveiling the complexity of the brain through basic research, identification of novel signaling pathways, the discovery of new drug targets, and advancement in cutting-edge technologies will help control this disorder. Additionally, there is a great hope of controlling the SUDs through immunotherapeutic measures like therapeutic antibodies and vaccines. Vaccines have played a cardinal role in eliminating many diseases like polio, measles, and smallpox. Further, vaccines have controlled many diseases like cholera, dengue, diphtheria, Haemophilus influenza type b (Hib), human papillomavirus, influenza, Japanese encephalitis, etc. Recently, COVID-19 was controlled in many countries by vaccination. Currently, continuous effort is done to develop vaccines against nicotine, cocaine, morphine, methamphetamine, and heroin. Antibody therapy against SUDs is another important area where serious attention is required. Antibodies have contributed substantially against many serious diseases like diphtheria, rabies, Crohn's disease, asthma, rheumatoid arthritis, and bladder cancer. Antibody therapy is gaining immense momentum due to its success rate in cancer treatment. Furthermore, enormous advancement has been made in antibody therapy due to the generation of high-efficiency humanized antibodies with a long half-life. The advantage of antibody therapy is its instant outcome. This article's main highlight is discussing the drug targets of SUDs and their associated mechanisms. Importantly, we have also discussed the scope of prophylactic measures to eliminate drug dependence.

An Imbalance in the Pro/mature BDNF Ratio Occurs in Multiple Brain Regions During Normal Ageing in Wild-Type Mice.

The early transition to Alzheimer's disease is characterized by a period of accelerated brain atrophy that exceeds normal ageing. Identifying the molecular basis of this atrophy could facilitate the discovery of novel drug targets. The precursor of brain-derived neurotrophic factor, a well characterized neurotrophin, is increased in the hippocampus of aged rodents, while its mature isoform is relatively stable. This imbalance could increase the risk of Alzheimer's disease by precipitating its pathological hallmarks. However, less is known about how relative levels of these isoforms change in middle-aged mice. In addition, the underlying mechanisms that might cause an imbalance are unknown. The main aim of this study was to determine how precursor brain-derived neurotrophic factor changes relative to its mature isoform with normal brain ageing in wild type mice. A secondary aim was to determine if signaling through the neurotrophin receptor, p75 influences this ratio. An increasing ratio was identified in several brain regions, except the hippocampus, suggesting a neurotrophic imbalance occurs as early as middle age. Some changes in receptors that mediate the isoforms effects were also identified, but these did not correspond with trends in the isoforms. Relative amounts of precursor brain-derived neurotrophic factor were mostly unchanged in mutant p75 mice. The lack of changes suggested that signaling through the receptor had no influence on the ratio.

Molecular Docking Study: Identification of Potential Inhibitors in Lavandula Angustifolia Essential Oil Against the Main Protease of Sars-Cov-2

SARS-CoV-2, also known as, Covid-19 is an almost globally endemic disease that has infected hundreds of millions of people and caused ongoing deaths. Researchers are still trying to search for effective drugs against Covid-19. Currently, with the development of science and technology, the process of drug discovery through simulated environments is becoming increasingly accurate and yielding rapid results. The protease crystal structure of Covid-19 plays a crucial role in viral replication and represents promising primary targets for antiviral drug discovery and therapy. Lavender and N3 compound ligands were used as test ligands. A total of 9 lavender ligand compounds were subjected to testing using the molecular docking method. Molecular docking aims to achieve the optimal conformation of both the protein and ligand, as well as the relative orientation between them. The analysis conducted during molecular docking includes the determination of the inhibition constant and the study of interactions between the protein and ligand.Keywords: Covid-19, docking, N3, ligand

Proteomic and Metabolomic Changes in Psoriasis Preclinical and Clinical Aspects.

Skin diseases such as psoriasis (Ps) and psoriatic arthritis (PsA) are immune-mediated inflammatory diseases. Overlap of autoinflammatory and autoimmune conditions hinders diagnoses and identifying personalized patient treatments due to different psoriasis subtypes and the lack of verified biomarkers. Recently, proteomics and metabolomics have been intensively investigated in a broad range of skin diseases with the main purpose of identifying proteins and small molecules involved in the pathogenesis and development of the disease. This review discusses proteomics and metabolomics strategies and their utility in research and clinical practice in psoriasis and psoriasis arthritis. We summarize the studies, from in vivo models conducted on animals through academic research to clinical trials, and highlight their contribution to the discovery of biomarkers and targets for biological drugs.

Computed interactions of berenil with restricted foldamers of c-MYC DNA G-quadruplexes

G-quadruplexes (G4s) are secondary four-stranded DNA helical structures made up of guanine-rich nucleic acids that can assemble in the promoter regions of multiple genes under the appropriate conditions. Stabilization of G4 structures by small molecules can regulate transcription in non-telomeric regions, including in proto-oncogenes and promoter regions, contributing to anti-proliferative and anti-tumor activities. Because G4s are detectable in cancer cells but not in normal cells, they make excellent drug discovery targets. Diminazene, DMZ (or berenil), has been shown to be an efficient G-quadruplex binder. Due to the stability of the folding topology, G-quadruplex structures are frequently found in the promotor regions of oncogenes and may play a regulatory role in gene activation. Using molecular docking and molecular dynamics simulations on several different binding poses, we have studied DMZ binding toward multiple G4 topologies of the c-MYC G-quadruplex. DMZ binds preferentially to G4s that have extended loops and flanking bases. This preference arises from its interactions with the loops and the flanking nucleotides, which were not found in the structure lacking extended regions. The binding to the G4s with no extended regions instead occurred mostly through end stacking. All binding sites for DMZ were confirmed by 100 ns molecular dynamics simulations and through binding enthalpies calculated using the MM-PBSA method. The primary driving forces were electrostatic, as the cationic DMZ interacts with the anionic phosphate backbone, and through van der Waals interactions, which primarily contributed in end stacking interactions. Communicated by Ramaswamy H. Sarma

Helix encoder: a compound-protein interaction prediction model specifically designed for class A GPCRs.

Class A G protein-coupled receptors (GPCRs) represent the largest class of GPCRs. They are essential targets of drug discovery and thus various computational approaches have been applied to predict their ligands. However, there are a large number of orphan receptors in class A GPCRs and it is difficult to use a general protein-specific supervised prediction scheme. Therefore, the compound-protein interaction (CPI) prediction approach has been considered one of the most suitable for class A GPCRs. However, the accuracy of CPI prediction is still insufficient. The current CPI prediction model generally employs the whole protein sequence as the input because it is difficult to identify the important regions in general proteins. In contrast, it is well-known that only a few transmembrane helices of class A GPCRs play a critical role in ligand binding. Therefore, using such domain knowledge, the CPI prediction performance could be improved by developing an encoding method that is specifically designed for this family. In this study, we developed a protein sequence encoder called the Helix encoder, which takes only a protein sequence of transmembrane regions of class A GPCRs as input. The performance evaluation showed that the proposed model achieved a higher prediction accuracy compared to a prediction model using the entire protein sequence. Additionally, our analysis indicated that several extracellular loops are also important for the prediction as mentioned in several biological researches.

Emerging Preclinical Applications of Humanized Mouse Models in the Discovery and Validation of Novel Immunotherapeutics and Their Mechanisms of Action for Improved Cancer Treatment.

Cancer therapeutics have undergone immense research over the past decade. While chemotherapies remain the mainstay treatments for many cancers, the advent of new molecular techniques has opened doors for more targeted modalities towards cancer cells. Although immune checkpoint inhibitors (ICIs) have demonstrated therapeutic efficacy in treating cancer, adverse side effects related to excessive inflammation are often reported. There is a lack of clinically relevant animal models to probe the human immune response towards ICI-based interventions. Humanized mouse models have emerged as valuable tools for pre-clinical research to evaluate the efficacy and safety of immunotherapy. This review focuses on the establishment of humanized mouse models, highlighting the challenges and recent advances in these models for targeted drug discovery and the validation of therapeutic strategies in cancer treatment. Furthermore, the potential of these models in the process of uncovering novel disease mechanisms is discussed.

Association between Cerebrospinal Fluid and Serum Biomarker Levels and Diagnosis, Injury Severity, and Short-Term Outcomes in Patients with Acute Traumatic Spinal Cord Injury.

Acute traumatic spinal cord injury (SCI) is recognized as a global problem that can lead to a range of acute and secondary complications impacting morbidity and mortality. There is still a lack of reliable diagnostic and prognostic biomarkers in patients with SCI that could help guide clinical care and identify novel therapeutic targets for future drug discovery. The aim of this prospective controlled study was to determine the cerebral spinal fluid (CSF) and serum profiles of 10 biomarkers as indicators of SCI diagnosis, severity, and prognosis to aid in assessing appropriate treatment modalities. CSF and serum samples of 15 SCI and ten healthy participants were included in the study. The neurological assessments were scored on admission and at discharge from the hospital using the American Spinal Injury Association Impairment Score (AIS) grades. The CSF and serum concentrations of SBDP150, S100B, GFAP, NF-L, UCHL-1, Tau, and IL-6 were significantly higher in SCI patients when compared with the control group. The CSF GBDP 38/44K, UCHL-L1, S100B, GFAP, and Tau levels were significantly higher in the AIS A patients. This study demonstrated a strong correlation between biomarker levels in the diagnosis and injury severity of SCI but no association with short-term outcomes. Future prospective controlled studies need to be done to support the results of this study.

CETSA and thermal proteome profiling strategies for target identification and drug discovery of natural products

BackgroundMonitoring target engagement at various stages of drug development is essential for natural product (NP)-based drug discovery and development. The cellular thermal shift assay (CETSA) developed in 2013 is a novel, broadly applicable, label-free biophysical assay based on the principle of ligand-induced thermal stabilization of target proteins, which enables direct assessment of drug-target engagement in physiologically relevant contexts, including intact cells, cell lysates and tissues. This review aims to provide an overview of the work principles of CETSA and its derivative strategies and their recent progress in protein target validation, target identification and drug lead discovery of NPs. MethodsA literature-based survey was conducted using the Web of Science and PubMed databases. The required information was reviewed and discussed to highlight the important role of CETSA-derived strategies in NP studies. ResultsAfter nearly ten years of upgrading and evolution, CETSA has been mainly developed into three formats: classic Western blotting (WB)-CETSA for target validation, thermal proteome profiling (TPP, also known as MS-CETSA) for unbiased proteome-wide target identification, and high-throughput (HT)-CETSA for drug hit discovery and lead optimization. Importantly, the application possibilities of a variety of TPP approaches for the target discovery of bioactive NPs are highlighted and discussed, including TPP-temperature range (TPP-TR), TPP-compound concentration range (TPP-CCR), two-dimensional TPP (2D-TPP), cell surface-TPP (CS-TPP), simplified TPP (STPP), thermal stability shift-based fluorescence difference in 2D gel electrophoresis (TS-FITGE) and precipitate supported TPP (PSTPP). In addition, the key advantages, limitations and future outlook of CETSA strategies for NP studies are discussed. ConclusionThe accumulation of CETSA-based data can significantly accelerate the elucidation of the mechanism of action and drug lead discovery of NPs, and provide strong evidence for NP treatment against certain diseases. The CETSA strategy will certainly bring a great return far beyond the initial investment and open up more possibilities for future NP-based drug research and development.

SARS-CoV-2 Nucleocapsid Protein Is a Potential Therapeutic Target for Anticoronavirus Drug Discovery.

SARS-CoV-2, the etiologic agent of the COVID-19 pandemic, is a highly contagious positive-sense RNA virus. Its explosive community spread and the emergence of new mutant strains have created palpable anxiety even in vaccinated people. The lack of effective anticoronavirus therapeutics continues to be a major global health concern, especially due to the high evolution rate of SARS-CoV-2. The nucleocapsid protein (N protein) of SARS-CoV-2 is highly conserved and involved in diverse processes of the virus replication cycle. Despite its critical role in coronavirus replication, N protein remains an unexplored target for anticoronavirus drug discovery. Here, we demonstrate that a novel compound, K31, binds to the N protein of SARS-CoV-2 and noncompetitively inhibits its binding to the 5' terminus of the viral genomic RNA. K31 is well tolerated by SARS-CoV-2-permissive Caco2 cells. Our results show that K31 inhibited SARS-CoV-2 replication in Caco2 cells with a selective index of ~58. These observations suggest that SARS-CoV-2 N protein is a druggable target for anticoronavirus drug discovery. K31 holds promise for further development as an anticoronavirus therapeutic. IMPORTANCE The lack of potent antiviral drugs for SARS-CoV-2 is a serious global health concern, especially with the explosive spread of the COVID-19 pandemic worldwide and the constant emergence of new mutant strains with improved human-to-human transmission. Although an effective coronavirus vaccine appears promising, the lengthy vaccine development processes in general and the emergence of new mutant viral strains with a potential to evade the vaccine always remain a serious concern. The antiviral drugs targeted to the highly conserved targets of viral or host origin remain the most viable and timely approach, easily accessible to the general population, in combating any new viral illness. The majority of anticoronavirus drug development efforts have focused on spike protein, envelope protein, 3CLpro, and Mpro. Our results show that virus-encoded N protein is a novel therapeutic target for anticoronavirus drug discovery. Due to its high conservation, the anti-N protein inhibitors will likely have broad-spectrum anticoronavirus activity.

Entropy-driven conformational transition of flexible Z-DNA to a novel non-B helix by double-methylated guanosine

Developing chemical modifications of DNA to find drug targets is challenging. Here, we incorporated double-methylated guanosine into a DNA duplex and determined its solution structure using NMR and restrained molecular dynamics. The double-methylation of guanosine promotes aberrantly distorted Z-DNA with a widened groove space. This flexible Z-DNA exhibited slow conformational exchange (second time-scale) with a novel helical structure (denoted as tBZ-form). We find three characteristics of the Z-to-tBZ transition: 1) syn-to-syn glycosidic conformation (Z-to-non-B); 2) loss of left-handedness (that is, Z-to-non-Z); 3) entropic gain of the Z-to-tBZ transition. We anticipate that this flexible Z-DNA can be considered a novel target for drug discovery and that the Z-to-tBZ transition will provide new insights into structural diversity.

Stereoselective Mannich Reactions in the Synthesis of Enantiopure Piperidine Alkaloids and Derivatives

AbstractPiperidine alkaloids are members of the alkaloid family that is characterized by the presence of a six‐membered nitrogen‐containing heterocycle. Piperidine alkaloids are found mainly in plants and often exhibit interesting biological and pharmacological activities. Despite the accumulation of these natural products in plants, relatively low quantities of alkaloids are produced in absolute terms and thus synthesis of alkaloids and derivatives thereof remains relevant to identify targets for drug discovery. Throughout the years, researchers have come up with a myriad of methods to synthesize piperidine derivatives. This review describes methods that employ stereoselective Mannich reactions to create the core of piperidine alkaloids. Asymmetric induction in the Mannich reaction has been achieved by a range of methods that have been divided into three conceptual approaches: (1) chiral pool‐based (internal asymmetric induction), (2) chiral auxiliary‐based (relayed asymmetric induction) and (3) asymmetric catalysis‐based (external asymmetric induction). Of each approach, we describe the reaction mechanism and rationalize the stereochemical outcome of the Mannich products.

Covalent S-Adenosylhomocysteine-Based DNA Methyltransferase 2 Inhibitors with a New Type of Aryl Warhead.

The DNA methyltransferase 2 (DNMT2) is an RNA modifying enzyme associated with pathophysiological processes, such as mental and metabolic disorders or cancer. Although the development of methyltransferase inhibitors remains challenging, DNMT2 is not only a promising target for drug discovery, but also for the development of activity-based probes. Here, we present covalent SAH-based DNMT2 inhibitors decorated with a new type of aryl warhead. Based on a noncovalent DNMT2 inhibitor with N-benzyl substituent, the Topliss scheme was followed for optimization. The results showed that electron-deficient benzyl moieties highly increased affinity. By decorating the structures with strong electron-withdrawing moieties and leaving groups, we adjusted the electrophilicity to create covalent DNMT2 inhibitors. A 4-bromo-3-nitrophenylsulfonamide-decorated SAH derivative (80) turned out to be the most potent (IC50 = 1.2 ± 0.1 μM) and selective inhibitor. Protein mass spectrometry confirmed the covalent reaction with the catalytically active cysteine-79.

Physiological and Pathological Functions of TMEM30A: An Essential Subunit of P4-ATPase Phospholipid Flippases.

Phospholipids are asymmetrically distributed across mammalian plasma membrane. The function of P4-ATPases is to maintain the abundance of phosphatidylserine (PS) and phosphatidylethanolamine (PE) in the inner leaflet as lipid flippases. Transmembrane protein 30A (TMEM30A, also named CDC50A), as an essential β subunit of most P4-ATPases, facilitates their transport and functions. With TMEM30A knockout mice or cell lines, it is found that the loss of TMEM30A has huge influences on the survival of mice and cells because of PS exposure-triggered apoptosis signaling. TMEM30A is a promising target for drug discovery due to its significant roles in various systems and diseases. In this review, we summarize the functions of TMEM30A in different systems, present current understanding of the protein structures and mechanisms of TMEM30A-P4-ATPase complexes, and discuss how these fundamental aspects of TMEM30A may be applied to disease treatment.

HDAC8 as an emerging target in drug discovery with special emphasis on medicinal chemistry.

HDAC8catalyzes the deacetylation of both histones and nonhistone proteins. The abnormal expression of HDAC8 is associated with various pathological conditions causing cancer and other diseases like myopathies, Cornelia de Lange syndrome, renal fibrosis, and viral and parasitic infections. The substrates of HDAC8 are involved in diverse molecular mechanisms of cancer such as cell proliferation, invasion, metastasis and drug resistance. Based on the crystal structures and the key residues at the active site, HDAC8 inhibitors have been designed along the canonical pharmacophore. This article details the importance, recent advancements, and the structural and functional aspects of HDAC8 with special emphasis on the medicinal chemistry aspect of HDAC8 inhibitors that will help in developing novel epigenetic therapeutics.

CYP1B1: A Promising Target in Cancer Drug Discovery.

CYP1B1 plays an essential role in cancer's pathogenesis since it activates procarcinogens. Significantly, this enzyme catalyzes the hydroxylation of 17β-estradiol, leading to carcinogenic metabolites involved in carcinogenesis and cancer progression. Therefore, the inhibition of CYP1B1 activity is considered a therapeutic target for chemotherapy. In addition, CYP1B1 is overexpressed in hormone-dependent cancer cells and could be related to resistance to anticancer drugs. However, the activity of CYP1B1 in the tumor microenvironment can metabolize and activate prodrugs in cancer cells, providing more selectivity and being useful for chemoprevention or chemotherapy strategies. Furthermore, due to its importance in anticancer drug design, recent studies have reported using computational methods to understand the intermolecular interactions between possible ligands and CYP1B1. Therefore, in this perspective, we highlight recent findings in developing CYP1B1 inhibitors (flavonoids, trans-stilbenes, estradiol derivatives, and carbazoles) and CYP1B1-activated prodrugs (a chalcone DMU-135 and an oxime DMAKO-20). Finally, we have analyzed their possible molecular interactions with this enzymatic target by molecular docking, which can help to design new active substances.

Human nuclear hormone receptor activity contributes to malaria parasite liver stage development

Chemical genetic approaches have had a transformative impact on discovery of drug targets for malaria but have primarily been used for parasite targets. To identify human pathways required for intrahepatic development of parasite, we implemented multiplex cytological profiling of malaria infected hepatocytes treated with liver stage active compounds. Some compounds, including MMV1088447 and MMV1346624, exhibited profiles similar to cells treated with nuclear hormone receptor (NHR) agonist/antagonists. siRNAs targeting human NHRs, or their signaling partners identified eight genes that were critical for Plasmodium berghei infection. Knockdown of NR1D2, a host NHR, significantly impaired parasite growth by downregulation of host lipid metabolism. Importantly, treatment with MMV1088447 and MMV1346624 but not other antimalarials, phenocopied the lipid metabolism defect of NR1D2 knockdown. Our data underlines the use of high-content imaging for host-cellular pathway deconvolution, highlights host lipid metabolism as a drug-able human pathway and provides new chemical biology tools for studying host-parasite interactions.

Translational application of adaptive physiology in non-traditional animal models

Many mammals have naturally evolved solutions to human biomedical problems. The genes and regulatory elements underlying their protective strategies are generally neither novel nor species-specific, but rather shared among all mammals, including humans. Adaptive physiology published in the literature provides a starting point to identify species with natural disease resistance in which to identify genomic targets that can be translated to therapeutics. When searching through available datasets for species of interest and evaluating the quality of existing transcriptomic, proteomic and genomic analyses, we prioritize species that would best integrate into our drug target discovery platform “Convergence.” Convergence consists of five unique applications to identify and validate the genomic loci underlying these phenomena synthesizing multi-omics data from mammals capable of resisting and reversing human pathologies and present a promising avenue towards development of new treatments. Here we present this target discovery platform, demonstrate examples from current bio-banked species, and explore the potential of using a phylogenetic approach for novel target discovery for the betterment of human health. Our foundational data included transcriptomic and epigenomic sequencing from bio-banked 13-lined ground squirrel (13-LGS) tissues collected at precise physiological time-points across hibernation. Convergence also incorporates multi-omic data sets curated from the literature for many disease-resistant species, as well as human data from hundreds of thousands of individuals. As an example application, the 13-LGS experiences multiple hypometabolic challenges during hibernation, including conditions of ischemic stress and reperfusion, yet these animals resist tissue pathology that would be expected in humans experiencing these conditions. Using bulk RNA-seq data, we applied Weighted Gene Correlation Network Analysis (WGCNA) and Corenet, two network-focused approaches, to identify coexpression networks and hub genes associated with physiological states of hibernation. Many of the identified gene coexpression modules were enriched for genes linked to hibernation physiology-relevant diseases including steatohepatitis and myocardial ischemia via DisGeNet. These enrichments suggest that genes driving hibernation states in the 13-LGS may also hold the key to human-relevant disease resistance and reversal. After our success with the 13-LGS model, we are focused on extending our methodology to other species. Naked mole rats have a resistance to cancer, the northern elephant seal is resistant to diabetes and obesity, and jellyfish exhibit regenerative potential that may be applied to neurons in humans. By applying Fauna’s Convergence platform to questions around disease resistance and reversal paradigms in multiple species, we are developing human therapeutics for a variety of clinical indications using solutions derived from evolutionary problem-solving. The authors are employed by Fauna Bio Inc. and invested in their commercial success. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment.

Recently, a wide spectrum of artificial intelligence (AI)-based applications in the broader categories of digital pathology, biomarker development, and treatment have been explored. In the domain of digital pathology, these have included novel analytical strategies for realizing new information derived from standard histology to guide treatment selection and biomarker development to predict treatment selection and response. In therapeutics, these have included AI-driven drug target discovery, drug design and repurposing, combination regimen optimization, modulated dosing, and beyond. Given the continued advances that are emerging, it is important to develop workflows that seamlessly combine the various segments of AI innovation to comprehensively augment the diagnostic and interventional arsenal of the clinical oncology community. To overcome challenges that remain with regard to the ideation, validation, and deployment of AI in clinical oncology, recommendations toward bringing this workflow to fruition are also provided from clinical, engineering, implementation, and health care economics considerations. Ultimately, this work proposes frameworks that can potentially integrate these domains toward the sustainable adoption of practice-changing AI by the clinical oncology community to drive improved patient outcomes.

Development of a fluorescence screening assay for binding partners of the iron-sulfur mitochondrial protein mitoNEET

MitoNEET belongs to the CDGSH Iron-Sulfur Domain (CISD)-gene family of proteins and is a [2Fe-2S] cluster-containing protein found on the outer membrane of mitochondria. The specific functions of mitoNEET/CISD1 remain to be fully elucidated, but the protein is involved in regulating mitochondrial bioenergetics in several metabolic diseases. Unfortunately, drug discovery efforts targeting mitoNEET to improve metabolic disorders are hampered by the lack of ligand-binding assays for this mitochondrial protein. We have developed a protocol amenable for high-throughput screening (HTS) assay, by modifying an ATP fluorescence polarization method to facilitate drug discovery targeting mitoNEET. Based on our observation that adenosine triphosphate (ATP) interacts with mitoNEET, ATP-fluorescein was used during assay development. We established a novel binding assay suitable for both 96- or 384-well plate formats with tolerance for the presence of 2% v/v dimethyl sulfoxide (DMSO). We determined the IC50-values for a set of benzesulfonamide derivatives and found the novel assay reliably ranked the binding-affinities of compounds compared to radioactive binding assay with human recombinant mitoNEET. The developed assay platform is crucial in identifying novel chemical probes for metabolic diseases. It will accelerate drug discovery targeting mitoNEET and potentially other members of the CISD gene family.