Publications by authors named "Barak Akabayov"

We have subjected several analogs of DNA that have been widely used as antisense oligonucleotide (ASO) inhibitors of gene expression to comparative molecular dynamics (MD) calculations of their ability to form duplexes with DNA and RNA. The analogs included in this study are the phosphorothioate (PS), peptide nucleic acid (PNA), locked nucleic acid (LNA), morpholino nucleic acid (PMO), the 2'-OMe, 2'-F, 2'-methoxyethyl (2'-MOE) and the constrained cET analogs, as well as the natural phosphodiester (PO) as control, for a total of nine structures, in both XNA-DNA and XNA-RNA duplexes. This is intended as an objective criterion for their relative ability to duplex with an RNA complement and their comparative potential for antisense applications.

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  • Organophosphates (OP) are harmful chemicals used in agriculture and warfare, creating a need for effective detection methods that work quickly and are cost-effective, especially for detecting contamination in liquid samples.
  • Current detection methods are only useful in the short term and fail to address long-term contamination risks, highlighting the need for real-time monitoring of OPs in water and soil.
  • This study introduces a transistor-based sensor called MNChem, capable of ultra-sensitive, quantitative detection of diethyl cyanophosphonate (DCNP) in small liquid samples, achieving a detection limit of 100 fg/mL and a wide dynamic range, suggesting it’s suitable for on-site environmental analysis.*
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  • Transistor-based biosensing (BioFET) is explored as a promising method for future medical diagnostics but faces challenges with solution gating, as standard measurements affect the equilibrium of double layers where biomolecules interact.
  • The study investigates a new BioFET design that separates the solution potential from the current gating process, allowing electrochemical equilibrium to be maintained while measuring biomolecule interactions.
  • Results show that this decoupled approach significantly improves sensing performance for detecting ferritin in diluted plasma, achieving high sensitivity and a wide dynamic range compared to traditional methods.
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  • - The study focuses on using field-effect meta-nano-channel biosensors (MNC biosensors) to detect N-acetyl-beta-D-glucosaminidase (NAGase), an enzyme linked to infections in milk cows, in very small samples like 0.5 μL drops of milk.
  • - The biosensor achieves highly specific and label-free sensing of NAGase with an impressive detection limit of 30.3 aM, spanning a dynamic range of eleven orders of magnitude, indicating strong linearity and sensitivity.
  • - Two main findings highlight that despite the expected limitations due to the ionic strength and non-specific protein interactions in milk, the sensor works effectively, suggesting more research is needed on how non-specific
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Antibody-antigen interactions are shaped by the solution pH level, ionic strength, and electric fields, if present. In biological field-effect transistors (BioFETs), the interactions take place at the sensing area in which the pH level, ionic strength and electric fields are determined by the Poisson-Boltzmann equation and the boundary conditions at the solid-solution interface and the potential applied at the solution electrode. The present study demonstrates how a BioFET solution electrode potential affects the sensing area double layer pH level, ionic strength, and electric fields and in this way shapes the biological interactions at the sensing area.

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MolOptimizer is a user-friendly computational toolkit designed to streamline the hit-to-lead optimization process in drug discovery. MolOptimizer extracts features and trains machine learning models using a user-provided, labeled, and small-molecule dataset to accurately predict the binding values of new small molecules that share similar scaffolds with the target in focus. Hosted on the Azure web-based server, MolOptimizer emerges as a vital resource, accelerating the discovery and development of novel drug candidates with improved binding properties.

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Loss of proteostasis can occur due to mutations, the formation of aggregates, or general deficiency in the correct translation and folding of proteins. These phenomena are commonly observed in pathologies, but most significantly, loss of proteostasis characterizes aging. This loss leads to the chronic activation of stress responses and has a generally deleterious impact on the organism.

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In the era of data science, data-driven algorithms have emerged as powerful platforms that can consolidate bioisosteric rules for preferential modifications on small molecules with a common molecular scaffold. Here we present complementary data-driven algorithms to minimize the search in chemical space for phenylthiazole-containing molecules that bind the RNA hairpin within the ribosomal peptidyl transferase center (PTC) of Mycobacterium tuberculosis. Our results indicate visual, geometrical, and chemical features that enhance the binding to the targeted RNA.

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DNA-protein interactions play essential roles in all living cells. Understanding of how features embedded in the DNA sequence affect specific interactions with proteins is both challenging and important, since it may contribute to finding the means to regulate metabolic pathways involving DNA-protein interactions. Using a massive experimental benchmark dataset of binding scores for DNA sequences and a machine learning workflow, we describe the binding to DNA of T7 primase, as a model system for specific DNA-protein interactions.

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Mycobacterium tuberculosis (Mtb) is a pathogenic bacterium that caused 1.5 million fatalities globally in 2018. New strains of Mtb resistant to all known classes of antibiotics pose a global healthcare problem.

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For antisense applications, oligonucleotides must be chemically modified to be resistant to endogenous nucleases. Until now, antisense oligonucleotide (ASO) analogs have been synthesized and then tested for their ability to duplex with a target nucleic acid, usually RNA. In this work, using molecular dynamics calculations simulations, we systematically tested a series of chemically modified analogs in which the 2-deoxyribose was substituted for by one or two methylene groups on each side of the phosphate backbone, producing four compounds, of which three were previously unknown.

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expression of metalloproteins requires specific metal trafficking and incorporation machinery inside the cell. Synthetic designed metalloproteins are typically purified without the target metal, which is subsequently introduced through reconstitution. The extra step complicates protein optimization by high-throughput library screening or laboratory evolution.

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Receptor tyrosine kinases (RTKs) are major players in signal transduction, regulating cellular activities in both normal regeneration and malignancy. Thus, many RTKs, c-Kit among them, play key roles in the function of both normal and neoplastic cells, and as such constitute attractive targets for therapeutic intervention. We thus sought to manipulate the self-association of stem cell factor (SCF), the cognate ligand of c-Kit, and hence its suboptimal affinity and activation potency for c-Kit.

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Mycobacterium tuberculosis (Mtb) is a pathogenic bacterium and a causative agent of tuberculosis (TB), a disease that kills more than 1.5 million people worldwide annually. One of the main reasons for this high mortality rate is the evolution of new Mtb strains that are resistant to available antibiotics.

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The repertoire of methods for the detection and chemotherapeutic treatment of prostate cancer (PCa) is currently limited. Prostate-specific membrane antigen (PSMA) is overexpressed in PCa tumors and can be exploited for both imaging and drug delivery. We developed and characterized four nanobodies that present tight and specific binding and internalization into PSMA cells and that accumulate specifically in PSMA tumors.

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Glucose levels inside solid tumors are low as compared with normal surrounding tissue, forcing tumor cells to reprogram their metabolism to adapt to such low glucose conditions. Unlike normal tissue, tumor cells experience glucose starvation, making the targeting of pathways supporting survival during glucose starvation an interesting therapeutic strategy in oncology. Using high-throughput screening, we previously identified small molecules that selectively kill cells exposed to glucose starvation.

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DNA double-strand breaks (DSB) are the most deleterious type of DNA damage. In this work, we show that SIRT6 directly recognizes DNA damage through a tunnel-like structure that has high affinity for DSB. SIRT6 relocates to sites of damage independently of signaling and known sensors.

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(Mtb) is a pathogenic bacterium that causes tuberculosis, which kills more than 1.5 million people worldwide every year. Strains resistant to available antibiotics pose a significant healthcare problem.

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DNA primase synthesizes short RNA primers that initiate DNA synthesis of Okazaki fragments on the lagging strand by DNA polymerase during DNA replication. The binding of prokaryotic DnaG-like primases to DNA occurs at a specific trinucleotide recognition sequence. It is a pivotal step in the formation of Okazaki fragments.

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The importance of specific and label-free detection of proteins via antigen-antibody interactions for the development of point-of-care testing devices has greatly influenced the search for a more accessible, sensitive, low cost and robust sensors. The vision of silicon field-effect transistor (FET)-based sensors has been an attractive venue for addressing the challenge as it potentially offers a natural path to incorporate sensors with the existing mature Complementary Metal Oxide Semiconductor (CMOS) industry; this provides a stable and reliable technology, low cost for potential disposable devices, the potential for extreme minituarization, low electronic noise levels, etc. In the current review we focus on silicon-based immunological FET (ImmunoFET) for specific and label-free sensing of proteins through antigen-antibody interactions that can potentially be incorporated into the CMOS industry; hence, immunoFETs based on nano devices (nanowire, nanobelts, carbon nanotube, etc.

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Primases are key enzymes involved in DNA replication. They act on single-stranded DNA and catalyze the synthesis of short RNA primers used by DNA polymerases. Here, we investigate the DNA binding and activity of the bacteriophage T7 primase using a new workflow called high-throughput primase profiling (HTPP).

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The bacterial primase-an essential component in the replisome-is a promising but underexploited target for novel antibiotic drugs. Bacterial primases have a markedly different structure than the human primase. Inhibition of primase activity is expected to selectively halt bacterial DNA replication.

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Fragment-based drug discovery (FBDD) using NMR has become a central approach over the last twenty years for development of small molecule inhibitors against biological macromolecules, to control a variety of cellular processes. Yet, several considerations should be taken into account for obtaining a therapeutically relevant agent. In this review, we aim to list the considerations that make NMR fragment screening a successful process for yielding potent inhibitors.

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Lagging strand DNA synthesis by DNA polymerase requires RNA primers produced by DNA primase. The N-terminal primase domain of the gene 4 protein of phage T7 comprises a zinc-binding domain that recognizes a specific DNA sequence and an RNA polymerase domain that catalyzes RNA polymerization. Based on its crystal structure, the RNA polymerase domain contains two Mg(II) ions.

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Article Synopsis
  • - The study highlights how signaling pathways that help monocytes turn into osteoclasts can lead to bone diseases and metastasis, especially due to issues with the proteins M-CSF and its receptor, c-FMS, which are key in this process.
  • - Researchers initially believed that a mutant form of M-CSF could serve as a therapeutic agent because it couldn't dimerize; however, the study found that the dimerization still occurs and maintains activity towards osteoclasts.
  • - By analyzing the crystal structure of the M-CSF dimer, the researchers designed a new M-CSF mutant that inhibits dimerization and receptor activation, proving to be an effective antagonist for preventing bone disease progression.
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