Academic literature on the topic 'BIOAVAILABILITY RADAR'

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Journal articles on the topic "BIOAVAILABILITY RADAR"

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ND, Nizamuddin, Roopa D, Pramodini Alla, Afshin Shams Shaik, Vamshi Kumar Achari P, and Sudhakar Reddy Kapu. "In – Silico Biological Evaluation of Anticancer Drugs - SWISS ADME." Future Journal of Pharmaceuticals and Health Sciences 4, no. 2 (2024): 39–55. http://dx.doi.org/10.26452/fjphs.v4i2.604.

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The aim of the present work is to prepare anti-cancer drugs through In – Silico Biological Evaluation using SWISS ADME. The new Swiss ADME web tool, which includes in-house expert methods like the BOILED-Egg, Ilogp, and Bioavailability Radar, provides free access to a pool of quick yet reliable predictive models for physicochemical properties, pharmacokinetics, drug-likeness, and medicinal chemistry friendliness. It is developed to predict various pharmacodynamics and pharmacokinetics properties of small molecules, helping researchers in the drug discovery and development process. Researchers can use this tool to assess the potential success of a drug in terms of its ADME. Swiss ADME offers predictive model for various pharmacokinetic properties such as solubility, lipophilicity, and bioavailability this helps researchers assess how a drug candidate will be absorbed, distributed, metabolized, and excreted in the body.
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ND, Nizamuddin. "In – Silico Biological Evaluation of Anticancer Drugs - SWISS ADME." In – Silico Biological Evaluation of Anticancer Drugs - SWISS ADME 4, no. 2 (2024): 39–55. https://doi.org/10.5281/zenodo.14651647.

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The aim of the present work is to prepare anti-cancer drugs through&nbsp;<em>In &ndash; Silico</em> Biological Evaluation using SWISS ADME. The new Swiss ADME web tool, which includes in-house expert methods like the BOILED-Egg, Ilogp, and Bioavailability Radar, provides free access to a pool of quick yet reliable predictive models for physicochemical properties, pharmacokinetics, drug-likeness, and medicinal chemistry friendliness. It is developed to predict various pharmacodynamics and pharmacokinetics properties of small molecules, helping researchers in the drug discovery and development process. Researchers can use this tool to assess the potential success of a drug in terms of its ADME. Swiss ADME offers predictive model for various pharmacokinetic properties such as solubility, lipophilicity, and bioavailability this helps researchers assess how a drug candidate will be absorbed, distributed, metabolized, and excreted in the body.
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Ramya, S., Hema P. Manivannan, Vishnu P. Veeraraghavan, and Arul P. Francis. "In Silico Analysis of Selective Bioactive Compounds from Acronychia Pedunculata as a Potential Inhibitor of HER2 in Colorectal Cancer." Journal of Pharmacy and Bioallied Sciences 16, Suppl 2 (2024): S1281—S1286. http://dx.doi.org/10.4103/jpbs.jpbs_570_23.

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ABSTRACT Colorectal cancer (CRC) is a pervasive malignancy that stands as a prominent contributor to global cancer-related mortality. Among the numerous causative factors, the overexpression of human epidermal growth factor receptor 2 (HER2) is notably linked to CRC progression. Acronychia (A.) pedunculata has a longstanding history in folk medicine due to its multifaceted medicinal attributes. This study aimed to assess the potential of specific bioactive compounds derived from A. pedunculata for their inhibition of HER2 in CRC, utilizing in silico analysis. The compounds were systematically evaluated through a series of computational analyses. Drug-likeness assessment, pharmacokinetic evaluation, and toxicity analysis were conducted. Molecular docking studies were performed to investigate binding affinities with the HER2 target. Additionally, bioavailability radar analysis was employed to predict oral bioavailability, while molecular target prediction provided insights into potential protein interactions. All 12 compounds demonstrated favorable drug-likeness properties and adherence to Lipinski’s rule of five, indicative of the potential for good oral bioavailability. Four compounds were found to have no toxicological endpoints. Molecular docking revealed two compounds, namely caryophylla-4 (14), 8 (15)-dien-5alpha-ol and (-)-globulol, which showed promising binding affinities between several compounds and HER2. From this study, two leads were identified from A. pedunculata. Further experimental studies are required to validate the action of leads.
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Singh, Arvinder Pal, Ankush Goyal, and Navjot Singh Sethi. "In-silico drug likeness predictions of novel 9-benzyl-6-(furan-2-yl)-2-(N,N dimethylamino)- 9H-purine compound." YMER Digital 21, no. 08 (2022): 305–20. http://dx.doi.org/10.37896/ymer21.08/26.

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In silico studies, are increasing now-a-days, as through computer mechanics, screening of novel compounds based upon their physicochemical properties is important to reduce the cost of synthesizing novel medicinal compounds. In silico studies by network analysis and throughout screening helps to know and calculate biological activity of medicinal compounds. Novel 9- benzylpurine derivatives synthesized previously are used to study its structure and bioavailability radar, physicochemical properties, lipophilicity, solubility, pharmacokinetics, drug likeness and medicinal chemistry properties. These properties are calculated by use of Chem draw, open babel[16] and SwissADME software available freely. The novel 9-benzyl-6-(furan-2-yl) -2-(N,N dimethylamino)-9H-purine compound[17] shows good druglikeness properties to make it orally active.
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Lee, Dylan E., Linda Serrano, Estela Martinez-Escala, et al. "Hypomagnesemia and exposure to romidepsin: A Research on Adverse Drug events and Reports (RADAR) project." Journal of Clinical Oncology 35, no. 15_suppl (2017): e14072-e14072. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e14072.

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e14072 Background: Romidepsin (R) is indicated for cutaneous T-cell lymphoma (CTCL) and peripheral T-cell lymphoma. Hypomagnesemia (HM) is common in these patients and is also listed in the Full Prescribing Information (FPI) for R. Moreover, since cardiac arrhythmias are associated with HM, patients exposed to R may be at higher risk. This study assessed whether HM was causally related to R exposure and to what extent magnesium (M) supplementation was undertaken in those with HM. Methods: We searched a large, U.S. patient data repository to detect all patients (aged 20-94 years) exposed to R (10/2010-01/2017). For these patients, serum M, as well as M supplementation data, was collected. Baseline M was assessed at initial R exposure, and HM was defined as either, a decline in M to &lt; 1.8 mg/dL after R exposure or, in those with baseline M &lt; 1.8 mg/dL, a decline in M by ≥0.1 mg/dL after R exposure. For each patient with HM after R exposure, the validated Naranjo Adverse Drug Reaction Probability Scale (NADRPS) was used to determine the probability that HM was caused by R. Results: Of 51 R-exposed CTCL (or other lymphoma) patients, 25 (49.0%) had HM. Of these 25, NADRPS scores yielded: 1 doubtful, 16 possible, 8 probable and 0 definite. Additionally, 24 of 25 patients with HM had documentation for presence or absence of M supplementation: 9 (37.5%) had supplementation with M agents considered to be bioavailable, 12 (50%) received M agents considered to have low bioavailability, and 3 (12.5%) had no M supplementation. Conclusions: In this study population, 25 of 51 (49.0%) patients had HM after R exposure, which appears to nearly double the percentage of patients described in the FPI. Moreover, 8 of 25 (32%) patients with HM had causality attributed to R exposure. In addition, 15 of 24 (63%) patients with HM received M supplementation with agents considered to have low bioavailability or received no M supplementation. These findings support the need for ongoing monitoring of R-exposed patients with low M, as well as the importance of repleting M with agents considered to be adequately bioavailable. Also, given that HM appears to be more frequent in this study population compared to pre-marketing data in the FPI, further studies are warranted.
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Sardar, Haseeba, Usman Shareef, and Haroon Khan. "Molecular Docking & In Silico ADME Analysis of 5-O-Methyl-11-O-Acetylalkannin." Phytopharmacological Communications 4, no. 01 (2024): 17–28. https://doi.org/10.55627/ppc.004.001.0523.

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In the early phases of drug development, prediction of pharmacokinetic parameters including absorption, distribution, metabolism, and elimination (ADME), before synthesis may be helpful in the selection of candidates with less significant pharmacokinetic profiles. 5-O-methyl-11-O-acetylalkannin (MAA) is naphthoquinone isolated from the roots of Alkanna genus, Alkanna cappadocica. The aim of the present study is to predict the in silico ADME study of MAA using web tool called SwissADME. The 2D structure of the compound was drawn on Chemdraw Ultra version 8.0. The colored zone represents the optimal physicochemical region for oral bioavailability, according to the bioavailability radar, which takes into account the characteristics of flexibility, lipophilicity, saturation, size, polarity, and solubility. The pharmacokinetic properties were analyzed using the boiled egg model. The yolk-colored yellow component has a high chance of entering the brain, whereas the white portion has a high chance of being passively absorbed by the gastrointestinal tract. The study concluded that MAA did not violate the recommended ranges for Lipinski’s rule of five, rotational bond count, and Topological Polar Surface Area (TPSA). MAA also showed moderate lipophilicity and good water solubility. It did not act as a substrate for P-glycoprotein. MAA displayed a potential to inhibit CYP1A2, CYP2C19, CYP2C9 and CYP3A4. Besides that, MAA exhibited no action against CYP2D6. It exhibited a uniform and good bioavailability score of 0.55 (55%) with high gastrointestinal (GI) absorption capabilities. Additionally, the Synthetic Accessibility score of the MAA represented easy-step reactions of synthesis. MAA does not violate any of the five drug-likeness parameters including Lipinski, Muegge, Ghose, Veber, and Egan rules. As a result, MAA could be considered a promising molecule in drug discovery. Moreover, the molecular docking analysis showed the formation of a stable protein ligand complex between TNFα and the ligand molecule.
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Karakuş, Nihat. "Theoretical Investigations on Phytochemicals: Physical Chemistry, FMO, MEP, Lipophilicity, Water Solubility, Drug-likeness, and Bioavailability." Cumhuriyet Science Journal 45, no. 2 (2024): 282–90. http://dx.doi.org/10.17776/csj.1403956.

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Naturally-existing chemicals especially phytochemicals have been commonly used for medicinal purposes in terms of both traditional and contemporary respects. Allyl isothiocyanate structure exhibits antimicrobial and anticancer activity, whereas the allitridin, as one of the main components of the garlic, showed antifungal, antitumor, and antioxidant activity. Arabinose and galactose as monosaccharides also play a main role in drug-design research to facilitate drug delivery to target cells and regulate insulin resistance, respectively. Herein, the 3-isothiocyanatoprop-1-ene (Allyl isothiocyanate, AITC), 2,3,4,5-tetrahydroxypentanal (Ar, Arabinose), 1,3-diallyltrisulfane (Allitridin, DATS), 6-(hydroxymethyl)tetrahydro-2H-pyran-2,3,4,5-tetraol (Galactose, Gal), 6-methyltetrahydro-2H-pyran-2,3,4,5-tetraol (Rhamnose, Rh), and tetrahydro-2H-pyran-2,3,4,5-tetraol (cyclic-Arabinose, C-Ar) agents were investigated by using DFT. The B3LYP/6-311G** level computations were used to optimize the compounds' geometries and then to predict the reactivity indexes of the compounds. Also, lipophilicity and water-solubility features were determined to enlighten the physicochemical characteristics of the compounds. Then, the studied agents' pharmacokinetics were evaluated using the BOILED-Egg and radar graphs. Last, the bioavailability and drug-likeness behaviors were predicted. This trial work will be hoped to provide fundamental electronic and physicochemical insight into the relationship between drug-likeness and electronic structure.
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Jyoti V. Mali, Jyoti V. Mali, Pratibha R. Adnaik Pratibha R. Adnaik, and Rahul S. Adnaik Rahul S. Adnaik. "Computational ADME Modeling of Selected Terpenoids Using Swiss ADME." International Journal of Pharmaceutical Research and Applications 10, no. 3 (2025): 1704–16. https://doi.org/10.35629/4494-100317041716.

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Terpenoids, a large and diverse class of naturally occurring organic compounds, have shown significant therapeutic potential, including antimicrobial, anticancer, and anti-inflammatory properties. However, the pharmacokinetic behavior of terpenoids, particularly their absorption, distribution, metabolism, and excretion (ADME) profiles, remains a critical factor in their drug development process. Computational ADME modeling has emerged as a powerful tool for earlystage screening of bioactive compounds, enabling the efficient prediction of pharmacokinetic properties and drug-likeness. This review focuses on the application of SwissADME, a widely used web-based platform, for evaluating the ADME characteristics of selected terpenoids. The tool offers various predictive modules including Lipinski's rule of five, bioavailability radar, gastrointestinal absorption, blood-brain barrier permeability, and cytochrome P450 interactions. By analyzing computational ADME data, this review highlights key pharmacokinetic attributes of terpenoids that influence their drug-likeness and therapeutic potential. Overall, the use of SwissADME in evaluating natural compounds streamlines the selection of promising terpenoid candidates for further experimental and clinical validation, thus accelerating natural product-based drug discovery.
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Fathallah, Noha, Mona El Deeb, Amany A. Rabea, et al. "Ultra-Performance Liquid Chromatography Coupled with Mass Metabolic Profiling of Ammi majus Roots as Waste Product with Isolation and Assessment of Oral Mucosal Toxicity of Its Psoralen Component Xanthotoxin." Metabolites 13, no. 10 (2023): 1044. http://dx.doi.org/10.3390/metabo13101044.

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Ammi majus, a well-established member of the Umbelliferae (Apiaceae) family, is endogenous to Egypt. The main parts of this plant that are used are the fruits, which contain coumarins and flavonoids as major active constituents. The roots are usually considered by-products that are discarded and not fed to cattle because of coumarins’ potential toxicity. The goal of this study was to ensure the sustainability of the plant, investigate the active metabolites present in the roots using UPLC/MS-MS, isolate and elucidate the major coumarin Xanthotoxin, and predict its oral bioavailability and its potential biological impact on tongue papillae. The results revealed coumarins as the dominant chemical class in a positive acquisition mode, with bergaptol-O-hexoside 5%, Xanthotoxin 5.5%, and isoarnoittinin 6% being the major compounds. However, phenolics ruled in the negative mode, with p-coumaroyl tartaric acid 7%, 3,7-dimethyl quercetin 6%, and hesperidin 5% being the most prominent metabolites. Fractionation and purification of the chloroform fraction yielded Xanthotoxin as one of the main compounds, which appeared as white needle crystals (20 mg). ADME studies for oral bioavailability were performed to predict the potential properties of the compound if used orally. It was noted that it followed Lipinski’s rule of five, had just one parameter outside of the pink area in the radar plot, and was detected inside the threshold area using the boiled egg approach. In vivo, histopathological studies performed on rats showed a notable decrease in the tongue’s keratin thickness from an average of 51.1 µm to 9.1 µm and an average of 51.8 µm to 9.8 µm in fungiform and filiform cells, respectively. The results indicated that although Xanthotoxin is a well-known medical agent with several potential therapeutic activities in oral therapy, it may cause a destructive effect on the structure of the specialized mucosa of the tongue.
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Gupta, Aaryan, Arpita Roy, Soumya Pandit, Neha Pandey, and Sarvesh Rustagi. "Evaluation of Bioactive Compounds Obtained from Ginkgo Biloba Against Crystal Structure of Myelin Oligodendrocyte Glycoprotein (MOG)." OBM Neurobiology 07, no. 04 (2023): 1–34. http://dx.doi.org/10.21926/obm.neurobiol.2304186.

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Multiple Sclerosis (MS) spreads rapidly across the globe, causing almost 2.8 million cases worldwide. Many drugs and inhibitors, such as dronabinol and nabilone, have been used to treat MS, but there is no effective treatment for MS till now as these medications can cause severe side effects. So, we tested different compounds from &lt;em&gt;Ginkgo biloba&lt;/em&gt; to inhibit the symptoms caused by MS as an herbal treatment. We targeted the Crystal structure of Myelin Oligodendrocyte Glycoprotein as it has shown some excellent results in experimental labs. In this article, the binding interactions through the molecular docking model was performed. Further compound's effectiveness through various screening protocols such as the ADME Test, Bioavailability Radar Test, and BOILED-Egg Test has been done. This study found that Amentoflavone and Isoginkgetin have the potential to inhibit the Crystal Structure of Myelin Oligodendrocyte Glycoprotein as they show the least binding energies which are -7.79 kcal/mol and -8.14 kcal/mol. To check the effectiveness of these compounds, Molecular Dynamics Simulations and in-vitro studies can be done to find some possible herbal treatments for Multiple Sclerosis.
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Dissertations / Theses on the topic "BIOAVAILABILITY RADAR"

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ROHAN. "NEW INSIGHT: IN-SILICO ANALYSIS OF PHYTOCHEMICALS AS A THERAPEUTIC INTERVENTION AGAINST MENINGIOMA." Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20118.

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Drug development for conventional delivery targets is the major challenge for therapeutic progress. PI3K signaling has shown a prominent role in progression of meningioma which subsequently makes these receptors a target for efficient treatment approach. Loss or alteration of NF2 (neurofibromin 2) with respect to its gene product merlin is crucially implicated in tumor development eventually leads to the meningioma. However, the interactions of meningioma pathophysiology (merlin) to many pathways makes it complicated. Different signalling pathways interacting with merlin are the hippo pathway, PI3K /Akt route and mTORC pathway. We thesis on the inhibitory approach for P13K pathway and phosphorylation of Akt to terminate merlin polyubiquitination and promote its expression and association with PIKE-L thereby activating tumor suppressive action. Our work emphasizes on exploring biological compounds that target the PI3K pathway using the in-silico method. Here, we implemented 50 phytochemicals from various plant sources against PI3K for molecular docking and assessed as a potential anticancer drug. The docking was performed showing binding energy, drug likeness and affinity of different phytochemicals. The following study demonstrated various phytochemicals (such as Leachianone A, withaferin A, kurarinol and gardenoilic acid B) along with comparing their ADME score, bioavailability radar and score that provides insights on possible therapeutic approach of these biological compounds.
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Book chapters on the topic "BIOAVAILABILITY RADAR"

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Gurjar, Surya Pratap, Arpita Roy, and Aaryan Gupta. "Understanding Pharmacokinetics, Bioavailability Radar, and Molecular Docking Studies for Selected Medicinal Plants Against Lung Cancer Receptors." In Harnessing Medicinal Plants in Cancer Prevention and Treatment. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1646-7.ch014.

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This chapter is dedicated to discussing molecular docking approaches in natural product-based drug discovery programs, which include 27 phytocompounds from 11 distinct medicinal plants. The ADME (absorption, distribution, metabolism, excretion) processes are first examined to understand how a drug interacts within and is processed by the body. Acquiring knowledge about a drug's ADME properties is vital to developing safe and effective pharmacotherapy. A Bioavailability radar analysis is then conducted to identify the optimal physicochemical space required for a molecule to be classified as drug-like, which includes polarity, size, lipophilicity, solubility, flexibility, and saturation. Molecular docking is a useful method in traditional medicine screening programs that predicts interactions between small molecules and drug targets. Finally, the target protein is selected for the study, which is optimized with the coordinates of the phytochemicals for stable conformation and minimum energy.
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Bolocan, Natalia, and Gheorghe Duca. "Computational research of dihydroxyfumaric acid and its derivatives with antioxidant activity." In Redox Processes with Electron and Proton Transfer. Moldova State University, 2023. http://dx.doi.org/10.59295/prtep2023_07.

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The present chapter describes the application of computational methods in the research of the isomerization/tautomerization processes of dihydroxyfumaric acid (DHF), for the calculation of global and local reactivity indices of new derivatives of DHF, for the demonstration of the validity of the KID procedure in gas, water and methanol. In the present research, the predictive analysis was performed for the first time by calculation methods of the properties of absorption, distribution, metabolism, excretion and toxicity of the investigated derivatives, which demonstrated ерушк пкгпдшлутуыы. Bioavailability radars of researched substances have been constructed, demonstrating significantly drug-like properties. Also, for the first time, using the molecular docking method, the significant inhibition potential of the main protease of the SARS-CoV-2 virus by all the compounds under study was demonstrated.
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