scholarly journals Detecting Novel Ototoxins and Potentiation of Ototoxicity by Disease Settings

2021 ◽  
Vol 12 ◽  
Author(s):  
Allison B. Coffin ◽  
Robert Boney ◽  
Jordan Hill ◽  
Cong Tian ◽  
Peter S. Steyger
Keyword(s):  
Hearing Loss ◽  
Drug Development ◽  
In Silico ◽  
Structural Similarity ◽  
New Drugs ◽  
Drug Induced ◽  
Clinical Drug Development ◽  
Clinical Drug

Over 100 drugs and chemicals are associated with permanent hearing loss, tinnitus, and vestibular deficits, collectively known as ototoxicity. The ototoxic potential of drugs is rarely assessed in pre-clinical drug development or during clinical trials, so this debilitating side-effect is often discovered as patients begin to report hearing loss. Furthermore, drug-induced ototoxicity in adults, and particularly in elderly patients, may go unrecognized due to hearing loss from a variety of etiologies because of a lack of baseline assessments immediately prior to novel therapeutic treatment. During the current pandemic, there is an intense effort to identify new drugs or repurpose FDA-approved drugs to treat COVID-19. Several potential COVID-19 therapeutics are known ototoxins, including chloroquine (CQ) and lopinavir-ritonavir, demonstrating the necessity to identify ototoxic potential in existing and novel medicines. Furthermore, several factors are emerging as potentiators of ototoxicity, such as inflammation (a hallmark of COVID-19), genetic polymorphisms, and ototoxic synergy with co-therapeutics, increasing the necessity to evaluate a drug's potential to induce ototoxicity under varying conditions. Here, we review the potential of COVID-19 therapies to induce ototoxicity and factors that may compound their ototoxic effects. We then discuss two models for rapidly detecting the potential for ototoxicity: mammalian auditory cell lines and the larval zebrafish lateral line. These models offer considerable value for pre-clinical drug development, including development of COVID-19 therapies. Finally, we show the validity of in silico screening for ototoxic potential using a computational model that compares structural similarity of compounds of interest with a database of known ototoxins and non-ototoxins. Preclinical screening at in silico, in vitro, and in vivo levels can provide an earlier indication of the potential for ototoxicity and identify the subset of candidate therapeutics for treating COVID-19 that need to be monitored for ototoxicity as for other widely-used clinical therapeutics, like aminoglycosides and cisplatin.

scholarly journals Cathepsin L plays a key role in SARS-CoV-2 infection in humans and humanized mice and is a promising target for new drug development

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Miao-Miao Zhao ◽  
Wei-Li Yang ◽  
Fang-Yuan Yang ◽  
Li Zhang ◽  
Wei-Jin Huang ◽  
...  
Keyword(s):  
Drug Development ◽  
Cathepsin L ◽  
Human Cells ◽  
New Drugs ◽  
Disease Course ◽  
Promising Target ◽  
First Time

AbstractTo discover new drugs to combat COVID-19, an understanding of the molecular basis of SARS-CoV-2 infection is urgently needed. Here, for the first time, we report the crucial role of cathepsin L (CTSL) in patients with COVID-19. The circulating level of CTSL was elevated after SARS-CoV-2 infection and was positively correlated with disease course and severity. Correspondingly, SARS-CoV-2 pseudovirus infection increased CTSL expression in human cells in vitro and human ACE2 transgenic mice in vivo, while CTSL overexpression, in turn, enhanced pseudovirus infection in human cells. CTSL functionally cleaved the SARS-CoV-2 spike protein and enhanced virus entry, as evidenced by CTSL overexpression and knockdown in vitro and application of CTSL inhibitor drugs in vivo. Furthermore, amantadine, a licensed anti-influenza drug, significantly inhibited CTSL activity after SARS-CoV-2 pseudovirus infection and prevented infection both in vitro and in vivo. Therefore, CTSL is a promising target for new anti-COVID-19 drug development.

scholarly journals Identification of a Novel Delta Opioid Receptor Agonist Chemotype with Potential Negative Allosteric Modulator Capabilities

Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7236
Author(s):  
Yazan J. Meqbil ◽  
Hongyu Su ◽  
Robert J. Cassell ◽  
Kendall L. Mores ◽  
Anna M. Gutridge ◽  
...  
Keyword(s):  
Opioid Receptor ◽  
Clinical Drug Development ◽  
In Vitro Characterization ◽  
Opioid Receptor Agonist ◽  
Negative Allosteric Modulator ◽  
Δ Opioid Receptor ◽  
Clinical Drug

The δ-opioid receptor (δOR) holds great potential as a therapeutic target. Yet, clinical drug development, which has focused on δOR agonists that mimic the potent and selective tool compound SNC80 have largely failed. It has increasingly become apparent that the SNC80 scaffold carries with it potent and efficacious β-arrestin recruitment. Here, we screened a relatively small (5120 molecules) physical drug library to identify δOR agonists that underrecruit β-arrestin, as it has been suggested that compounds that efficaciously recruit β-arrestin are proconvulsant. The screen identified a hit compound and further characterization using cellular binding and signaling assays revealed that this molecule (R995045, compound 1) exhibited ten-fold selectivity over µ- and κ-opioid receptors. Compound 1 represents a novel chemotype at the δOR. A subsequent characterization of fourteen analogs of compound 1, however did not identify a more potent δOR agonist. Computational modeling and in vitro characterization of compound 1 in the presence of the endogenous agonist leu-enkephalin suggest compound 1 may also bind allosterically and negatively modulate the potency of Leu-enkephalin to inhibit cAMP, acting as a ‘NAM-agonist’ in this assay. The potential physiological utility of such a class of compounds will need to be assessed in future in vivo assays.

scholarly journals A Novel Piperazine-Based Drug Lead for Cryptosporidiosis from the Medicines for Malaria Venture Open-Access Malaria Box

2018 ◽  
Vol 62 (4) ◽  
pp. e01505-17 ◽  
Author(s):  
R. S. Jumani ◽  
K. Bessoff ◽  
M. S. Love ◽  
P. Miller ◽  
E. E. Stebbins ◽  
...  
Keyword(s):  
Mouse Model ◽  
Drug Development ◽  
Early Stage ◽  
New Drugs ◽  
Cryptosporidium Hominis ◽  
Content Type ◽  
Knockout Mouse Model ◽  
Malaria Box

ABSTRACTCryptosporidiosis causes life-threatening diarrhea in children under the age of 5 years and prolonged diarrhea in immunodeficient people, especially AIDS patients. The standard of care, nitazoxanide, is modestly effective in children and ineffective in immunocompromised individuals. In addition to the need for new drugs, better knowledge of drug properties that drivein vivoefficacy is needed to facilitate drug development. We report the identification of a piperazine-based lead compound forCryptosporidiumdrug development, MMV665917, and a new pharmacodynamic method used for its characterization. The identification of MMV665917 from the Medicines for Malaria Venture Malaria Box was followed by dose-response studies,in vitrotoxicity studies, and structure-activity relationship studies using commercial analogues. The potency of this compound againstCryptosporidium parvumIowa and field isolates was comparable to that againstCryptosporidium hominis. Furthermore, unlike nitazoxanide, clofazimine, and paromomycin, MMV665917 appeared to be curative in a NOD SCID gamma mouse model of chronic cryptosporidiosis. MMV665917 was also efficacious in a gamma interferon knockout mouse model of acute cryptosporidiosis. To determine if efficacy in this mouse model of chronic infection might relate to whether compounds are parasiticidal or parasitistatic forC. parvum, we developed a novelin vitroparasite persistence assay. This assay suggested that MMV665917 was parasiticidal, unlike nitazoxanide, clofazimine, and paromomycin. The assay also enabled determination of the concentration of the compound required to maximize the rate of parasite elimination. This time-kill assay can be used to prioritize early-stageCryptosporidiumdrug leads and may aid in planningin vivoefficacy experiments. Collectively, these results identify MMV665917 as a promising lead and establish a new method for characterizing potential anticryptosporidial agents.

Advancements in Cancer Therapeutics

2021 ◽  
pp. 89-115
Author(s):  
Serda Kecel Gunduz ◽  
Bilge Bicak ◽  
Aysen E. Ozel
Keyword(s):  
Protein Design ◽  
Complex Structure ◽  
Cancer Therapeutics ◽  
New Drugs ◽  
In Vivo Studies ◽  
Drug Induced ◽  
Dimensional Simulation ◽  
Dynamics And Function

In this chapter, computational approaches for the discovery of new drugs that are useful for diagnosis and treatment of disease will be described in three parts. MD technique uniquely supports protein design attempts by giving information about protein dynamics associated with atomic-level descriptions of the relationship between dynamics and function. The purpose of molecular docking is to provide an estimate of the ligand-receptor complex structure using computational methods. By this estimation, the mechanism of drug binding and action are described by determining the three-dimensional simulation of drug and drug-induced macrostructure. ADME characteristics are physicochemically significant descriptors and pharmacokinetically relevant properties used to design more effective drugs and new analogs. As a result, in-silico calculations can provide robust preliminary information as to drug activity and mechanism in the drug production process, as well as in vitro and in vivo studies.

scholarly journals Computational toxicology

2015 ◽  
Vol 34 (12) ◽  
pp. 1304-1309 ◽  
Author(s):  
RT Naven ◽  
S Louise-May
Keyword(s):  
Critical Role ◽  
Pharmaceutical Research ◽  
In Vitro Models ◽  
New Drugs ◽  
Data Sets ◽  
Predictive Toxicology ◽  
Drug Induced ◽  
Chemical Toxicology

Predictive toxicology plays a critical role in reducing the failure rate of new drugs in pharmaceutical research and development. Despite recent gains in our understanding of drug-induced toxicity, however, it is urgent that the utility and limitations of our current predictive tools be determined in order to identify gaps in our understanding of mechanistic and chemical toxicology. Using recently published computational regression analyses of in vitro and in vivo toxicology data, it will be demonstrated that significant gaps remain in early safety screening paradigms. More strategic analyses of these data sets will allow for a better understanding of their domain of applicability and help identify those compounds that cause significant in vivo toxicity but which are currently mis-predicted by in silico and in vitro models. These ‘outliers’ and falsely predicted compounds are metaphorical lighthouses that shine light on existing toxicological knowledge gaps, and it is essential that these compounds are investigated if attrition is to be reduced significantly in the future. As such, the modern computational toxicologist is more productively engaged in understanding these gaps and driving investigative toxicology towards addressing them.

scholarly journals FBDD: In-silico STRATEGY TO INHIBIT MPRO ACTIVITY USING DRUGS FROM PREVIOUS OUTBREAKS

2021 ◽  
Vol 9 (4) ◽  
pp. 472-480
Author(s):  
Gauravi N Trivedi ◽  
◽  
Janhavi T Karlekar ◽  
Khushbu Dhimmar ◽  
Hetal kumar Panchal ◽  
...  
Keyword(s):  
Drug Development ◽  
In Silico ◽  
Drug Targets ◽  
Transmission Rate ◽  
Respiratory Illness ◽  
Primary Treatment ◽  
Rational Drug Design ◽  
New Drugs ◽  
Main Protease

Main protease (Mpro) and Spike (S) proteins are said potential drug targets of COVID-19. Pneumonia like respiratory illness caused by SARS-CoV-2 is spreading rapidly due to its replication and transmission rate. Protease is the protein that is involved in both replication and transcription. Since CoV-2 shares, genomic similarity with CoV and MERS-CoV, drugs from previous outbreaks are used as primary treatment of the disease. In-silico drug development strategies are said to be faster and effective than in-vitro with a lesser amount of risk factors. Fragment Based Drug Designing (FBDD), also known as rational drug design in which a potential target protein is selected and docked with a lead-like molecule that eventually leads to drug development. Nine (9) drugs that are currently being used to treat patients of coronavirus were selected in this study from the latest literature review and fragmented as per rules followed by crosslinking of drug fragments using editor tools. These native drugs and synthesized drugs were then docked against the main protease. Results of the study revealed that one of the crosslinked lead-like compounds showed a higher binding affinity (∆G) more than any of the native compounds. Further, the results of this study suggested that the combination of potential drugs can be an effective way to develop new drugs to treat a deadly disease.

scholarly journals Cannabidiol Signaling in the Eye and Its Potential as an Ocular Therapeutic Agent

2021 ◽  
Vol 55 (S5) ◽  
pp. 1-14
Keyword(s):  
Cannabis Sativa ◽  
Therapeutic Potential ◽  
In Vivo Studies ◽  
Future Directions ◽  
Clinical Drug Development ◽  
Therapeutic Uses ◽  
The 1960S ◽  
Clinical Drug

Cannabidiol (CBD), the major non-intoxicating constituent of Cannabis sativa, has gained recent attention due to its putative therapeutic uses for a wide variety of diseases. CBD was discovered in the 1940s and its structure fully characterized in the 1960s. However, for many years most research efforts related to cannabis derived chemicals have focused on D9-tetrahydrocannabinol (THC). In contrast to THC, the lack of intoxicating psychoactivity associated with CBD highlights the potential of this cannabinoid for clinical drug development. This review details in vitro and in vivo studies of CBD related to the eye, the therapeutic potential of cannabidiol for various ocular conditions, and molecular targets and mechanisms for CBD-induced ocular effects. In addition, challenges of CBD applications for clinical ocular therapeutics and future directions are discussed.

scholarly journals In silico prospection of antineoplastic molecules from the Artemisia annua species

2021 ◽  
Vol 7 (19) ◽  
Author(s):  
Isabela Sacienti Lavezo ◽  
Juracy Cirino de Souza Neto ◽  
Túlio Nunes Pinto ◽  
Leonardo Luiz Borges
Keyword(s):  
In Silico ◽  
Artemisia Annua ◽  
Biological Effects ◽  
Low Cost ◽  
Target Prediction ◽  
Molecular Target ◽  
New Drugs ◽  
Antineoplastic Activity

Lung cancer kills the most men and the second that kills the most women (behind only breast cancer). The in silico study makes it possible to search for new drugs at low cost, with a greater possibility of rapid manufacturing and a lower future cost for their manufacture. The objective of this study was to analyze an antineoplastic activity of the compounds of Artemisia annua to obtain an active substance that can reach the molecular target of the cancer cells. Compounds with antineoplastic effects were selected using Scielo, PubMed, and ScienceDirect platforms. Afterward, the first screening of compound compounds was performed with a high ability to predict biological and pharmacological activity through the PASS Prediction, Pubchem, and Swiss ADME platforms. After the current screening, we determined the toxicological and molecular target prediction by the Portox II and Swiss Target Prediction platforms. As a final part, molecular docking and redocking were performed for a compound using the PDB server and the GOLD Suite 5.7.0 program. For another, we completed the pharmacophoric mapping using the Binding DB and PharmaGist database. The compounds scopoletin and caffeic acid were the most promising structures in silico models capable of interacting with EGFR (epidermal growth factor) and MM-9 (metalloproteinase type 9), respectively. The results obtained that these structures are promising to be tested in in vitro and in vivo tests about the antineoplastic activity. In addition, in silico analyses help to understand the biological effects of A. annua extracts regarding antineoplastic evidence.

scholarly journals Human Tissue in the Evaluation of Safety and Efficacy of New Medicines: A Viable Alternative to Animal Models?

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Robert A. Coleman
Keyword(s):  
In Silico ◽  
High Sensitivity ◽  
Test Methods ◽  
Biological Data ◽  
Human Cells ◽  
New Drugs ◽  
Safety And Efficacy ◽  
Potential Safety

The pharma Industry's ability to develop safe and effective new drugs to market is in serious decline. Arguably, a major contributor to this is the Industry's extensive reliance on nonhuman biology-based test methods to determine potential safety and efficacy, objective analysis of which reveals poor predictive value. An obvious alternative approach is to use human-based tests, but only if they are available, practical, and effective. While in vivo (phase 0 microdosing with high sensitivity mass spectroscopy) and in silico (using established human biological data), technologies are increasingly being used, in vitro human approaches are more rarely employed. However, not only are increasingly sophisticated in vitro test methods now available or under development, but the basic ethically approved infrastructure through which human cells and tissues may be acquired is established. Along with clinical microdosing and in silico approaches, more effective access to and use of human cells and tissues in vitro provide exciting and potentially more effective opportunities for the assessment of safety and efficacy of new medicines.

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