Publications by authors named "Tushar Jain"

Article Synopsis
  • - In vitro assessments for predicting pharmacokinetic (PK) behavior in biotherapeutics help identify potential issues early in drug discovery, reducing excessive animal testing and optimizing resources.
  • - The study highlights the value of integrating in vitro measures, particularly those assessing nonspecific interactions and FcRn interactions, as they correlate well with drug clearance in a specific mouse model.
  • - A computational method is proposed to enhance the correlation to PK by combining various in vitro measurements with multivariate regression, allowing for better prioritization of drug candidates with ideal PK profiles.
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The up-regulation of ABC transporters Cdr1p and Cdr2p that efflux antifungal azole drugs are a leading cause of Multi-Drug Resistance (MDR) in the white fungus . was reported to infect patients following the recent Covid-19 pandemic after they were given steroids for recovery. Previously, the gene was identified as the transcriptional activator of drug resistance genes ( and ) and has no known human homologs.

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 Acoustic change complex (ACC) is a type of event-related potential evoked in response to subtle change(s) in the continuing stimuli. In the presence of a growing number of investigations on ACC, there is a need to review the various methodologies, findings, clinical utilities, and conclusions of different studies by authors who have studied ACC.  The present review article is focused on the literature related to the utility of ACC as a tool to assess the auditory discrimination skill in different populations.

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With the growing significance of antibodies as a therapeutic class, identifying developability risks early during development is of paramount importance. Several high-throughput in vitro assays and in silico approaches have been proposed to de-risk antibodies during early stages of the discovery process. In this review, we have compiled and collectively analyzed published experimental assessments and computational metrics for clinical antibodies.

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A cochlear implant is an electronic sensory system that converts mechanical energy into coded electrical signals that directly activate the auditory nerve fibers. Present review article investigates the findings of previous research papers which have assessed speech and language outcome in children who underwent early cochlear implantation. Several databases, including PubMed, Google, Google Scholar, and Medline, were investigated for research papers on the speech and language outcomes of children who had early-life implants.

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The development of therapeutic monoclonal antibodies (mAbs) can be hindered by their tendency to aggregate throughout their lifetime, which can illicit immunogenic responses and render mAb manufacturing unfeasible. Consequently, there is a need to identify mAbs with desirable thermodynamic stability, solubility, and lack of self-association. These behaviors are assessed using an array of in silico and in vitro assays, as no single assay can predict aggregation and developability.

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Contemporary in vivo and in vitro discovery platform technologies greatly increase the odds of identifying high-affinity monoclonal antibodies (mAbs) towards essentially any desired biologically relevant epitope. Lagging discovery throughput is the ability to select for highly developable mAbs with drug-like properties early in the process. Upstream consideration of developability metrics should reduce the frequency of failures in later development stages.

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A series of cationic lipo-benzamide compounds with varying lengths of hydrocarbon chains (C2M-C18M) were evaluated for anti-Candida activity. Four compounds harbouring 8-11 hydrocarbon chains demonstrated concentration-dependent inhibition of fungal cell growth with Minimum Inhibitory Concentration (MIC) of ≤6.2 µg ml.

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Purpose: Candida species have become resistant to commonly used anti-fungal drugs like fluconazole and echinocandins. In our screen, a series of quaternary ammonium compounds (QACs) emerged as an alternative treatment choice for drug-resistant Candida infections.

Methodology: Medium alkyl chain cationic lipo-oxazoles comprising six to thirteen twin carbon chains and a quaternary ammonium unit were synthesized and evaluated for their in vitro anti-Candida and biofilm inhibition activity.

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Article Synopsis
  • - The study focuses on predicting the hydrophobicity of monoclonal antibodies, which is crucial for their development as therapeutics. Hydrophobic Interaction Chromatography (HIC) is used to evaluate this property, and retention times can be linked to amino acid characteristics based on 3D protein structures.
  • - Researchers employed a randomforest machine learning technique to estimate how exposed the amino acid side-chains are on the antibody's surface, achieving a prediction error as low as 4.6%. They created a propensity scale to forecast antibodies with likely delayed HIC retention times, demonstrating a high accuracy with a cross-validation score of 0.85.
  • - The supplementary materials available online include data, sequences, experimental findings, and R
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Early stage assays that evaluate monoclonal antibody drug-like properties serve as valuable tools for selection of lead candidates. One liability for clinical development, off-target reactivity, is often assessed by binding to a mixture or panel of noncognate proteins. While robust, these mixes are often ill-defined, and can suffer from issues such as lot-to-lot variability.

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The bioassay guided fractionation of methanolic extract of Murraya koenigii (L.) Spreng. leaves resulted in the isolation of seven pyranocarbazoles.

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Article Synopsis
  • The susceptibility of methionine to oxidation is a key factor affecting the chemical stability of monoclonal antibodies (mAbs) during their development, leading to the need for screening candidates under forced oxidation conditions.
  • Researchers conducted forced oxidation tests on a large set of mAb samples and used advanced techniques like liquid chromatography-mass spectrometry to identify and analyze oxidation sites in different antibody segments.
  • The findings showed a strong correlation between experimental data and theoretical predictions, supporting the idea that computational modeling can effectively predict which mAbs are more susceptible to oxidation based on their amino acid sequences.
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Antibodies are a highly successful class of biological drugs, with over 50 such molecules approved for therapeutic use and hundreds more currently in clinical development. Improvements in technology for the discovery and optimization of high-potency antibodies have greatly increased the chances for finding binding molecules with desired biological properties; however, achieving drug-like properties at the same time is an additional requirement that is receiving increased attention. In this work, we attempt to quantify the historical limits of acceptability for multiple biophysical metrics of "developability.

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Scarcely understood defects lead to asthenozoospermia, which results in poor fertility outcomes. Incomplete knowledge of these defects hinders the development of new therapies and reliance on interventional therapies, such as in vitro fertilization, increases. Sperm cells, being transcriptionally and translationally silent, necessitate the proteomic approach to study the sperm function.

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The importance of the neonatal Fc receptor (FcRn) in extending the serum half-life of monoclonal antibodies (mAbs) is well demonstrated, and has led to the development of multiple engineering approaches designed to alter Fc interactions with FcRn. Recent reports have additionally highlighted the effect of nonspecific interactions on antibody pharmacokinetics (PK), suggesting an FcRn-independent mechanism for mAb clearance. In this report we examine a case study of 2 anti-interleukin-12/23 antibodies, ustekinumab and briakinumab, which share the same target and Fc, but differ in variable region sequences.

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Although improvements in technology for the isolation of potential therapeutic antibodies have made the process increasingly predictable, the development of biologically active monoclonal antibodies (mAbs) into drugs can often be impeded by developability issues such as poor expression, solubility, and promiscuous cross-reactivity. Establishing early stage developability screening assays capable of predicting late stage behavior is therefore of high value to minimize development risks. Toward this goal, we selected a panel of 16 monoclonal antibodies (mAbs) representing different developability profiles, in terms of self- and cross-interaction propensity, and examined their downstream behavior from expression titer to accelerated stability and pharmacokinetics in mice.

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The effectiveness of therapeutic monoclonal antibodies (mAbs) is governed not only by their bioactivity, but also by their biophysical properties. Assays for rapidly evaluating the biophysical properties of mAbs are valuable for identifying those most likely to exhibit superior properties such as high solubility, low viscosity and slow serum clearance. Analytical hydrophobic interaction chromatography (HIC), which is performed at high salt concentrations to enhance hydrophobic interactions, is an attractive assay for identifying mAbs with low hydrophobicity.

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The discovery of monoclonal antibodies (mAbs) that bind to a particular molecular target is now regarded a routine exercise. However, the successful development of mAbs that (1) express well, (2) elicit a desirable biological effect upon binding, and (3) remain soluble and display low viscosity at high concentrations is often far more challenging. Therefore, high throughput screening assays that assess self-association and aggregation early in the selection process are likely to yield mAbs with superior biophysical properties.

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Low expression, poor solubility, and polyspecificity are significant obstacles that have impeded the development of antibodies discovered from in vitro display libraries. Current biophysical characterization tools that identify these 'developability' problems are typically only applied after the discovery process, and thus limited to perhaps a few hundred candidates. We report a flow cytometric assay using a polyspecificity reagent (PSR) that allows for the identification and counter selection of polyspecific antibodies both during and after the selection process.

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Prediction of side-chain conformations is an important component of several biological modeling applications. In this work, we have developed and tested an advanced Monte Carlo sampling strategy for predicting side-chain conformations. Our method is based on a cooperative rearrangement of atoms that belong to a group of neighboring side-chains.

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We present the Coordinate Internal Representation of Solvation Energy (CIRSE) for computing the solvation energy of protein configurations in terms of pairwise interactions between their atoms with analytic derivatives. Currently, CIRSE is trained to a Poisson/surface-area benchmark, but CIRSE is not meant to fit this benchmark exclusively. CIRSE predicts the overall solvation energy of protein structures from 331 NMR ensembles with 0.

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Protein-protein association is accompanied by a large reduction in translational and rotational (external) entropy. Based on a 15 ns molecular dynamics simulation of acetylcholinesterase (AChE) in complex with fasciculin 2 (Fas2), we estimate the loss in external entropy using quasiharmonic analysis and histogram-based approximations of the probability distribution function. The external entropy loss of AChE-Fas2 binding, ∼30 cal/mol K, is found to be significantly larger than most previously characterized protein-ligand systems.

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