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  1. Article ; Online: Estrogen Receptor Alpha Binders for Hormone-Dependent Forms of Breast Cancer: e-QSAR and Molecular Docking Supported by X-ray Resolved Structures.

    Masand, Vijay H / Al-Hussain, Sami A / Alzahrani, Abdullah Y / Al-Mutairi, Aamal A / Hussien, Rania A / Samad, Abdul / Zaki, Magdi E A

    ACS omega

    2024  Volume 9, Issue 14, Page(s) 16759–16774

    Abstract: Cancer, a life-disturbing and lethal disease with a high global impact, causes significant economic, social, and health challenges. Breast cancer refers to the abnormal growth of cells originating from breast tissues. Hormone-dependent forms of breast ... ...

    Abstract Cancer, a life-disturbing and lethal disease with a high global impact, causes significant economic, social, and health challenges. Breast cancer refers to the abnormal growth of cells originating from breast tissues. Hormone-dependent forms of breast cancer, such as those influenced by estrogen, prompt the exploration of estrogen receptors as targets for potential therapeutic interventions. In this study, we conducted e-QSAR molecular docking and molecular dynamics analyses on a diverse set of inhibitors targeting estrogen receptor alpha (ER-α). The e-QSAR model is based on a genetic algorithm combined with multilinear regression analysis. The newly developed model possesses a balance between predictive accuracy and mechanistic insights adhering to the OECD guidelines. The e-QSAR model pointed out that sp
    Language English
    Publishing date 2024-03-29
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.4c00906
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Theranostics: a multifaceted approach utilizing nano-biomaterials.

    Yasir, Mohammad / Mishra, Ratnakar / Tripathi, Alok Shiomurti / Maurya, Rahul K / Shahi, Ashutosh / Zaki, Magdi E A / Al Hussain, Sami A / Masand, Vijay H

    Discover nano

    2024  Volume 19, Issue 1, Page(s) 35

    Abstract: Biomaterials play a vital role in targeting therapeutics. Over the years, several biomaterials have gained wide attention in the treatment and diagnosis of diseases. Scientists are trying to make more personalized treatments for different diseases, as ... ...

    Abstract Biomaterials play a vital role in targeting therapeutics. Over the years, several biomaterials have gained wide attention in the treatment and diagnosis of diseases. Scientists are trying to make more personalized treatments for different diseases, as well as discovering novel single agents that can be used for prognosis, medication administration, and keeping track of how a treatment works. Theranostics based on nano-biomaterials have higher sensitivity and specificity for disease management than conventional techniques. This review provides a concise overview of various biomaterials, including carbon-based materials like fullerenes, graphene, carbon nanotubes (CNTs), and carbon nanofibers, and their involvement in theranostics of different diseases. In addition, the involvement of imaging techniques for theranostics applications was overviewed. Theranostics is an emerging strategy that has great potential for enhancing the accuracy and efficacy of medicinal interventions. Despite the presence of obstacles such as disease heterogeneity, toxicity, reproducibility, uniformity, upscaling production, and regulatory hurdles, the field of medical research and development has great promise due to its ability to provide patients with personalised care, facilitate early identification, and enable focused treatment.
    Language English
    Publishing date 2024-02-26
    Publishing country Switzerland
    Document type Journal Article ; Review
    ISSN 2731-9229
    ISSN (online) 2731-9229
    DOI 10.1186/s11671-024-03979-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Leveraging nitrogen occurrence in approved drugs to identify structural patterns.

    Masand, Vijay H / Al-Hussain, Sami / Alzahrani, Abdullah Y / El-Sayed, Nahed N E / Yeo, Chien Ing / Tan, Yee Seng / Zaki, Magdi E A

    Expert opinion on drug discovery

    2024  Volume 19, Issue 1, Page(s) 111–124

    Abstract: Background: The process of drug development and discovery is costly and slow. Although an understanding of molecular design principles and biochemical processes has progressed, it is essential to minimize synthesis-testing cycles. An effective approach ... ...

    Abstract Background: The process of drug development and discovery is costly and slow. Although an understanding of molecular design principles and biochemical processes has progressed, it is essential to minimize synthesis-testing cycles. An effective approach is to analyze key heteroatoms, including oxygen and nitrogen. Herein, we present an analysis focusing on the utilization of nitrogen atoms in approved drugs.
    Research design and methods: The present work examines the frequency, distribution, prevalence, and diversity of nitrogen atoms in a dataset comprising 2,049 small molecules approved by different regulatory agencies (FDA and others). Various types of nitrogen atoms, such as sp
    Results: The results unveil both previously reported and newly discovered patterns of nitrogen atom distribution around the center of mass in the majority of drug molecules.
    Conclusions: This study has highlighted intriguing trends in the role of nitrogen atoms in drug design and development. The majority of drugs contain 1-3 nitrogen atoms within 5Å from the center of mass (COM) of a molecule, with a higher preference for the ring and planar nitrogen atoms. The results offer invaluable guidance for the multiparameter optimization process, thus significantly contributing toward the conversion of lead compounds into potential drug candidates.
    MeSH term(s) Humans ; Nitrogen/chemistry ; Drug Design
    Chemical Substances Nitrogen (N762921K75)
    Language English
    Publishing date 2024-01-08
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2259618-5
    ISSN 1746-045X ; 1746-0441
    ISSN (online) 1746-045X
    ISSN 1746-0441
    DOI 10.1080/17460441.2023.2266990
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Magnetic solid phase extraction of Sunitinib malate in urine samples assisted with mixed hemimicelle and spectrophotometric detection.

    Pourbasheer, Eslam / Malekpour, Leila / Azari, Zhila / Masand, Vijay H / Ganjali, Mohammad Reza

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 3361

    Abstract: The mixed hemimicelle-based solid phase extraction method using the coated sodium dodecyl sulfate by magnetic iron oxide nanoparticles as adsorbent was developed for extraction and determination of Sunitinib malate in real samples prior to determination ... ...

    Abstract The mixed hemimicelle-based solid phase extraction method using the coated sodium dodecyl sulfate by magnetic iron oxide nanoparticles as adsorbent was developed for extraction and determination of Sunitinib malate in real samples prior to determination by UV-Visible spectrophotometry. For the characterization of synthesized nanoparticles, Fourier transform infrared spectroscopy, and scanning electron microscopy was used. The influences of different factors affecting the extraction efficiency of Sunitinib malate, including the pH, the adsorbent amount, the volume and eluent type, the amount of the surfactant, the ionic strength, extraction, and desorption time, were investigated. At the optimized conditions, a good linearity with correlation coefficients of 0.998 and 0.999 was obtained over the concentration ranges of 1-22 and 1-19 µg/mL for water and urine samples, in order. The good recoveries of 97% and 99% and also, the limits of detection equal with 0.9, and 0.8 µg/mL for water and urine samples were enhanced, respectively. These results demonstrate that mixed hemimicelle solid phase extraction is a fast, efficient, economical and selective sample preparation method for the extraction and determination of Sunitinib malate in different water and urine sample solutions.
    MeSH term(s) Sunitinib ; Urine ; Solid Phase Extraction ; Spectroscopy, Fourier Transform Infrared ; Magnetic Phenomena
    Chemical Substances Sunitinib (V99T50803M)
    Language English
    Publishing date 2023-02-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-30404-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Design, synthesis, docking studies and biological screening of 2-pyrimidinyl-2, 3-dihydro-1

    Gawali, Rakhi / Bhosale, Raghunath / Nagesh, Narayana / Masand, Vijay H / Jadhav, Shravan / Zaki, Magdi E A / Al-Hussain, Sami A

    Journal of biomolecular structure & dynamics

    2023  , Page(s) 1–18

    Abstract: A series of novel substituted 2-pyrimidinyl-2,3-dihydro- ... ...

    Abstract A series of novel substituted 2-pyrimidinyl-2,3-dihydro-1
    Language English
    Publishing date 2023-10-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2023.2266766
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Identification of potential edible mushroom as SARS-CoV-2 main protease inhibitor using rational drug designing approach.

    Sen, Debanjan / Debnath, Bimal / Debnath, Pradip / Debnath, Sudhan / Zaki, Magdi E A / Masand, Vijay H

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 1503

    Abstract: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is highly pathogenic to humans and has created health care threats worldwide. This urgent situation has focused the researchers worldwide towards the development of novel vaccine or small ... ...

    Abstract Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is highly pathogenic to humans and has created health care threats worldwide. This urgent situation has focused the researchers worldwide towards the development of novel vaccine or small molecule therapeutics for SARS-CoV-2. Although several vaccines have already been discovered and are in use for the masses, no therapeutic medication has yet been approved by FDA for the treatment of COVID-19. Keeping this in view, in the present study, we have identified promising hits against the main protease (M
    MeSH term(s) Antiviral Agents/pharmacology ; Antiviral Agents/therapeutic use ; Basidiomycota/chemistry ; Benzofurans/pharmacology ; Benzofurans/therapeutic use ; COVID-19/drug therapy ; Coronavirus 3C Proteases/antagonists & inhibitors ; Molecular Dynamics Simulation ; Protease Inhibitors/pharmacology ; Protease Inhibitors/therapeutic use ; SARS-CoV-2/drug effects ; SARS-CoV-2/enzymology ; Terphenyl Compounds/pharmacology ; Terphenyl Compounds/therapeutic use
    Chemical Substances Antiviral Agents ; Benzofurans ; Protease Inhibitors ; Terphenyl Compounds ; kynapcin 12 ; kynapcin-24 ; kynapcin-28 ; 3C-like proteinase, SARS-CoV-2 (EC 3.4.22.-) ; Coronavirus 3C Proteases (EC 3.4.22.28)
    Language English
    Publishing date 2022-01-27
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-05349-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Identification of Food Compounds as inhibitors of SARS-CoV-2 main protease using molecular docking and molecular dynamics simulations.

    Masand, Vijay H / Sk, Md Fulbabu / Kar, Parimal / Rastija, Vesna / Zaki, Magdi E A

    Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society

    2021  Volume 217, Page(s) 104394

    Abstract: SARS-CoV-2 has rapidly emerged as a global pandemic with high infection rate. At present, there is no drug available for this deadly disease. Recently, ... ...

    Abstract SARS-CoV-2 has rapidly emerged as a global pandemic with high infection rate. At present, there is no drug available for this deadly disease. Recently, M
    Language English
    Publishing date 2021-07-22
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 55877-1
    ISSN 0169-7439
    ISSN 0169-7439
    DOI 10.1016/j.chemolab.2021.104394
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Application of in-silico drug discovery techniques to discover a novel hit for target-specific inhibition of SARS-CoV-2 Mpro's revealed allosteric binding with MAO-B receptor: A theoretical study to find a cure for post-covid neurological disorder.

    Zaki, Magdi E A / Al-Hussain, Sami A / Al-Mutairi, Aamal A / Samad, Abdul / Masand, Vijay H / Ingle, Rahul G / Rathod, Vivek Digamber / Gaikwad, Nikita Maruti / Rashid, Summya / Khatale, Pravin N / Burakale, Pramod V / Jawarkar, Rahul D

    PloS one

    2024  Volume 19, Issue 1, Page(s) e0286848

    Abstract: Several studies have revealed that SARS-CoV-2 damages brain function and produces significant neurological disability. The SARS-CoV-2 coronavirus, which causes COVID-19, may infect the heart, kidneys, and brain. Recent research suggests that monoamine ... ...

    Abstract Several studies have revealed that SARS-CoV-2 damages brain function and produces significant neurological disability. The SARS-CoV-2 coronavirus, which causes COVID-19, may infect the heart, kidneys, and brain. Recent research suggests that monoamine oxidase B (MAO-B) may be involved in metabolomics variations in delirium-prone individuals and severe SARS-CoV-2 infection. In light of this situation, we have employed a variety of computational to develop suitable QSAR model using PyDescriptor and genetic algorithm-multilinear regression (GA-MLR) models (R2 = 0.800-793, Q2LOO = 0.734-0.727, and so on) on the data set of 106 molecules whose anti-SARS-CoV-2 activity was empirically determined. QSAR models generated follow OECD standards and are predictive. QSAR model descriptors were also observed in x-ray-resolved structures. After developing a QSAR model, we did a QSAR-based virtual screening on an in-house database of 200 compounds and found a potential hit molecule. The new hit's docking score (-8.208 kcal/mol) and PIC50 (7.85 M) demonstrated a significant affinity for SARS-CoV-2's main protease. Based on post-covid neurodegenerative episodes in Alzheimer's and Parkinson's-like disorders and MAO-B's role in neurodegeneration, the initially disclosed hit for the SARS-CoV-2 main protease was repurposed against the MAO-B receptor using receptor-based molecular docking, which yielded a docking score of -12.0 kcal/mol. This shows that the compound that inhibits SARS-CoV-2's primary protease may bind allosterically to the MAO-B receptor. We then did molecular dynamic simulations and MMGBSA tests to confirm molecular docking analyses and quantify binding free energy. The drug-receptor complex was stable during the 150-ns MD simulation. The first computational effort to show in-silico inhibition of SARS-CoV-2 Mpro and allosteric interaction of novel inhibitors with MAO-B in post-covid neurodegenerative symptoms and other disorders. The current study seeks a novel compound that inhibits SAR's COV-2 Mpro and perhaps binds MAO-B allosterically. Thus, this study will enable scientists design a new SARS-CoV-2 Mpro that inhibits the MAO-B receptor to treat post-covid neurological illness.
    MeSH term(s) Humans ; SARS-CoV-2/metabolism ; COVID-19 ; Monoamine Oxidase/metabolism ; Molecular Docking Simulation ; Drug Discovery ; Molecular Dynamics Simulation ; Peptide Hydrolases/metabolism ; Nervous System Diseases ; Protease Inhibitors/pharmacology
    Chemical Substances Monoamine Oxidase (EC 1.4.3.4) ; Peptide Hydrolases (EC 3.4.-) ; Protease Inhibitors
    Language English
    Publishing date 2024-01-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0286848
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: QSAR and Pharmacophore Modeling of Nitrogen Heterocycles as Potent Human

    Zaki, Magdi E A / Al-Hussain, Sami A / Masand, Vijay H / Akasapu, Siddhartha / Lewaa, Israa

    Molecules (Basel, Switzerland)

    2021  Volume 26, Issue 7

    Abstract: ... ...

    Abstract N
    MeSH term(s) Acyltransferases/antagonists & inhibitors ; Acyltransferases/chemistry ; Drug Design ; Enzyme Inhibitors/chemistry ; Enzyme Inhibitors/pharmacology ; Heterocyclic Compounds/chemistry ; Heterocyclic Compounds/pharmacology ; Humans ; Models, Molecular ; Quantitative Structure-Activity Relationship
    Chemical Substances Enzyme Inhibitors ; Heterocyclic Compounds ; Acyltransferases (EC 2.3.-) ; glycylpeptide N-tetradecanoyltransferase (EC 2.3.1.97)
    Language English
    Publishing date 2021-03-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules26071834
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Perceiving the Concealed and Unreported Pharmacophoric Features of the 5-Hydroxytryptamine Receptor Using Balanced QSAR Analysis.

    Bukhari, Syed Nasir Abbas / Elsherif, Mervat Abdelaziz / Junaid, Kashaf / Ejaz, Hasan / Alam, Pravej / Samad, Abdul / Jawarkar, Rahul D / Masand, Vijay H

    Pharmaceuticals (Basel, Switzerland)

    2022  Volume 15, Issue 7

    Abstract: The 5-hydroxytryptamine receptor 6 (5-HT6) has gained attention as a target for developing therapeutics for Alzheimer's disease, schizophrenia, cognitive dysfunctions, anxiety, and depression, to list a few. In the present analysis, a larger and diverse ... ...

    Abstract The 5-hydroxytryptamine receptor 6 (5-HT6) has gained attention as a target for developing therapeutics for Alzheimer's disease, schizophrenia, cognitive dysfunctions, anxiety, and depression, to list a few. In the present analysis, a larger and diverse dataset of 1278 molecules covering a broad chemical and activity space was used to identify visual and concealed structural features associated with binding affinity for 5-HT6. For this, quantitative structure-activity relationships (QSAR) and molecular docking analyses were executed. This led to the development of a statistically robust QSAR model with a balance of excellent predictivity (R
    Language English
    Publishing date 2022-07-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2193542-7
    ISSN 1424-8247
    ISSN 1424-8247
    DOI 10.3390/ph15070834
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