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  1. Article ; Online: Protracted molecular dynamics and secondary structure introspection to identify dual-target inhibitors of Nipah virus exerting approved small molecules repurposing.

    Yang, Siyun / Kar, Supratik

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 3696

    Abstract: Nipah virus (NiV), with its significantly higher mortality rate compared to COVID-19, presents a looming threat as a potential next pandemic, particularly if constant mutations of NiV increase its transmissibility and transmission. Considering the ... ...

    Abstract Nipah virus (NiV), with its significantly higher mortality rate compared to COVID-19, presents a looming threat as a potential next pandemic, particularly if constant mutations of NiV increase its transmissibility and transmission. Considering the importance of preventing the facilitation of the virus entry into host cells averting the process of assembly forming the viral envelope, and encapsulating the nucleocapsid, it is crucial to take the Nipah attachment glycoprotein-human ephrin-B2 and matrix protein as dual targets. Repurposing approved small molecules in drug development is a strategic choice, as it leverages molecules with known safety profiles, accelerating the path to finding effective treatments against NiV. The approved small molecules from DrugBank were used for repurposing and were subjected to extra precision docking followed by absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiling. The 4 best molecules were selected for 500 ns molecular dynamics (MD) simulation followed by Molecular mechanics with generalized Born and surface area solvation (MM-GBSA). Further, the free energy landscape, the principal component analysis followed by the defined secondary structure of proteins analysis were introspected. The inclusive analysis proposed that Iotrolan (DB09487) and Iodixanol (DB01249) are effective dual inhibitors, while Rutin (DB01698) and Lactitol (DB12942) were found to actively target the matrix protein only.
    MeSH term(s) Humans ; Nipah Virus/genetics ; Molecular Dynamics Simulation ; Drug Repositioning ; Protein Structure, Secondary ; COVID-19 ; Molecular Docking Simulation
    Language English
    Publishing date 2024-02-14
    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/s41598-024-54281-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Are we ready to fight the Nipah virus pandemic? An overview of drug targets, current medications, and potential leads.

    Yang, Siyun / Kar, Supratik

    Structural chemistry

    2023  , Page(s) 1–19

    Abstract: Nipah virus (NiV) is a high-lethality RNA virus from the family ... ...

    Abstract Nipah virus (NiV) is a high-lethality RNA virus from the family of
    Language English
    Publishing date 2023-03-08
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2018832-8
    ISSN 1572-9001 ; 1040-0400
    ISSN (online) 1572-9001
    ISSN 1040-0400
    DOI 10.1007/s11224-023-02148-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: First report on chemometric modeling of tilapia fish aquatic toxicity to organic chemicals: Toxicity data gap filling.

    Yang, Siyun / Kar, Supratik

    The Science of the total environment

    2023  Volume 907, Page(s) 167991

    Abstract: The Toxic Substances Control Act (TSCA) mandates the Environmental Protection Agency (EPA) to document chemicals entering the US. Due to the vast range of toxicity endpoints, experimental toxicological study for all chemicals is impossible to conduct. To ...

    Abstract The Toxic Substances Control Act (TSCA) mandates the Environmental Protection Agency (EPA) to document chemicals entering the US. Due to the vast range of toxicity endpoints, experimental toxicological study for all chemicals is impossible to conduct. To address this, in silico methods like QSAR and read-across are strategically used to prioritize testing for chemicals lacking ecotoxicity data. Aquatic toxicity is one of the most critical endpoints directly related to aquatic species, mainly fish, followed by direct to indirect effects on humans through drinking water and fish as food, respectively. Therefore, we have employed the ToxValDB database to curate acute LC
    MeSH term(s) Animals ; Humans ; Tilapia ; Chemometrics ; Models, Theoretical ; Quantitative Structure-Activity Relationship ; Cichlids ; Organic Chemicals/toxicity
    Chemical Substances Organic Chemicals
    Language English
    Publishing date 2023-10-26
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2023.167991
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Unveiling first report on in silico modeling of aquatic toxicity of organic chemicals to Labeo rohita (Rohu) employing QSAR and q-RASAR.

    Gallagher, Andrea / Kar, Supratik

    Chemosphere

    2023  Volume 349, Page(s) 140810

    Abstract: Labeo rohita, a fish species within the Carp family, holds significant dietary and aquacultural importance in South Asian countries. However, the habitats of L. rohita often face exposure to various harmful pesticides and organic compounds originating ... ...

    Abstract Labeo rohita, a fish species within the Carp family, holds significant dietary and aquacultural importance in South Asian countries. However, the habitats of L. rohita often face exposure to various harmful pesticides and organic compounds originating from industrial and agricultural runoff. It is challenging to individually investigate the effects of each potentially harmful compound. In such cases, in silico techniques like Quantitative Structure-Activity Relationship (QSAR) and quantitative Read-Across Structure-Activity Relationship (q-RASAR) can be employed to construct algorithmic models capable of simultaneously assessing the toxicity of numerous compounds. We utilized the US EPA's ToxValDB database to curate data regarding acute median lethal concentration (LC
    MeSH term(s) Animals ; Quantitative Structure-Activity Relationship ; Computer Simulation ; Cyprinidae ; Lethal Dose 50 ; Toxins, Biological ; Organic Chemicals/toxicity
    Chemical Substances Toxins, Biological ; Organic Chemicals
    Language English
    Publishing date 2023-11-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 120089-6
    ISSN 1879-1298 ; 0045-6535 ; 0366-7111
    ISSN (online) 1879-1298
    ISSN 0045-6535 ; 0366-7111
    DOI 10.1016/j.chemosphere.2023.140810
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: First report on chemometrics-driven multilayered lead prioritization in addressing oxysterol-mediated overexpression of G protein-coupled receptor 183.

    Bhattacharjee, Arnab / Kar, Supratik / Ojha, Probir Kumar

    Molecular diversity

    2024  

    Abstract: Contemporary research has convincingly demonstrated that upregulation of G protein-coupled receptor 183 (GPR183), orchestrated by its endogenous agonist, 7α,25-dihydroxyxcholesterol (7α,25-OHC), leads to the development of cancer, diabetes, multiple ... ...

    Abstract Contemporary research has convincingly demonstrated that upregulation of G protein-coupled receptor 183 (GPR183), orchestrated by its endogenous agonist, 7α,25-dihydroxyxcholesterol (7α,25-OHC), leads to the development of cancer, diabetes, multiple sclerosis, infectious, and inflammatory diseases. A recent study unveiled the cryo-EM structure of 7α,25-OHC bound GPR183 complex, presenting an untapped opportunity for computational exploration of potential GPR183 inhibitors, which served as our inspiration for the current work. A predictive and validated two-dimensional QSAR model using genetic algorithm (GA) and multiple linear regression (MLR) on experimental GPR183 inhibition data was developed. QSAR study highlighted that structural features like dissimilar electronegative atoms, quaternary carbon atoms, and CH
    Language English
    Publishing date 2024-03-09
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1376507-3
    ISSN 1573-501X ; 1381-1991
    ISSN (online) 1573-501X
    ISSN 1381-1991
    DOI 10.1007/s11030-024-10811-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Computer-assisted identification of potential quinolone derivatives targeting Nipah virus glycoprotein attachment with human cell surface receptor ephrin-B2: Multistep virtual screening.

    Yang, Siyun / Kar, Supratik

    Computers in biology and medicine

    2023  Volume 163, Page(s) 107240

    Abstract: Nipah Virus (NiV) is a single-stranded, negative-sense, highly lethal RNA virus. Even though NiV has close to 70-80% of mortality in India and Bangladesh, still there is no available US FDA-approved drug or vaccine. NiV attachment glycoprotein (NiV-G) is ...

    Abstract Nipah Virus (NiV) is a single-stranded, negative-sense, highly lethal RNA virus. Even though NiV has close to 70-80% of mortality in India and Bangladesh, still there is no available US FDA-approved drug or vaccine. NiV attachment glycoprotein (NiV-G) is critical for NiV to invade the human cell where ephrinB2 which is a crucial membrane-bound ligand that acts as a target of NiV. Most of the research has been performed targeting NiV or human ephrin-B to date. Quinolone derivatives are proven scaffolds for many approved drugs used to treat various bacterial, viral respiratory tract, and urinary tract infections, and rheumatologic disorders such as systemic lupus erythematosus, rheumatoid arthritis. Therefore, we have tried to find potential drug molecules employing quinolone scaffold-based derivatives from PubChem targeting both NiV-G and ephrin-B2 protein. A total of 1500+ quinolone derivatives were obtained from PubChem which were screened based on Drug Likeness followed by being subjected to XP docking employing Schrödinger software. The top ten best molecules were then chosen for their absorption, distribution, metabolism, excretion, and toxicity (ADMET) profiling based on the docking score ranking. Further, the top five molecules were selected for 200ns molecular dynamics (MD) simulation study with Desmond module followed by MM-GBSA study by Prime module of Schrödinger. The exhaustive analysis leads us to the top three probable lead drug molecules for NiV are PubChem CID 23646770, an analog of PubChem CID 67726448, and PubChem CID 10613168 which have predicted K
    MeSH term(s) Humans ; Ephrin-B2/genetics ; Ephrin-B2/metabolism ; Nipah Virus/metabolism ; Quinolones/metabolism ; Receptors, Cell Surface/metabolism ; Glycoproteins/metabolism ; Computers
    Chemical Substances Ephrin-B2 ; Quinolones ; Receptors, Cell Surface ; Glycoproteins
    Language English
    Publishing date 2023-07-08
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.107240
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Exploring Monkeypox: prospects for therapeutics through computational-aided drug discovery.

    Grajales, Daniela Bermeo / Kar, Supratik

    Molecular diversity

    2023  

    Abstract: Monkeypox virus (MPXV) has emerged as a significant public health concern due to its potential for human transmission and its severe clinical manifestations. This review synthesizes findings from peer-reviewed articles spanning the last two decades, ... ...

    Abstract Monkeypox virus (MPXV) has emerged as a significant public health concern due to its potential for human transmission and its severe clinical manifestations. This review synthesizes findings from peer-reviewed articles spanning the last two decades, shedding light on diverse aspects of MPXV research. The exploration commences with an analysis of transmission dynamics, including zoonotic and human-to-human transmission, and potential reservoir hosts. Detailed insights into viral replication mechanisms illuminate its influence on disease progression and pathogenicity. Understanding the genomic and virion structure of MPXV is pivotal for targeted interventions. Genomic characteristics contributing to virulence are examined, alongside recent advancements in virion structure elucidation through cutting-edge imaging techniques. Emphasizing combat strategies, the review lists potential protein targets within the MPXV lifecycle for computer-aided drug design (CADD). The role of protein-ligand interactions and molecular docking simulations in identifying potential drug candidates is highlighted. Despite the absence of approved MPXV medications, the review outlines updates on ongoing small molecules and vaccine development efforts, spanning traditional and innovative platforms. The evolving landscape of computational drug research for MPXV is explored, encompassing advanced algorithms, machine learning, and high-performance computing. In conclusion, this review offers a holistic perspective on MPXV research by integrating insights spanning transmission dynamics to drug design. Equipping researchers with multifaceted understanding underscore the importance of innovative methodologies and interdisciplinary collaborations in addressing MPXV's challenges as research advances.
    Language English
    Publishing date 2023-12-11
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 1376507-3
    ISSN 1573-501X ; 1381-1991
    ISSN (online) 1573-501X
    ISSN 1381-1991
    DOI 10.1007/s11030-023-10767-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Unveiling G-protein coupled receptor kinase-5 inhibitors for chronic degenerative diseases: Multilayered prioritization employing explainable machine learning-driven multi-class QSAR, ligand-based pharmacophore and free energy-inspired molecular simulation.

    Bhattacharjee, Arnab / Kar, Supratik / Ojha, Probir Kumar

    International journal of biological macromolecules

    2024  , Page(s) 131784

    Abstract: GRK5 holds a pivotal role in cellular signaling pathways, with its overexpression in cardiomyocytes, neuronal cells, and tumor cells strongly associated with various chronic degenerative diseases, which highlights the urgent need for potential inhibitors. ...

    Abstract GRK5 holds a pivotal role in cellular signaling pathways, with its overexpression in cardiomyocytes, neuronal cells, and tumor cells strongly associated with various chronic degenerative diseases, which highlights the urgent need for potential inhibitors. In this study, multiclass classification-based QSAR models were developed using diverse machine learning algorithms. These models were built from curated compounds with experimentally derived GRK5 inhibitory activity. Additionally, a pharmacophore model was constructed using active compounds from the dataset. Among the models, the SVM-based approach proved most effective and was initially used to screen DrugBank compounds within the applicability domain. Compounds showing significant GRK5 inhibitory potential underwent evaluation for key pharmacophoric features. Prospective compounds were subjected to molecular docking to assess binding affinity towards GRK5's key active site amino acid residues. Stability at the binding site was analyzed through 200 ns molecular dynamics simulations. MM-GBSA analysis quantified individual free energy components contributing to the total binding energy with respect to binding site residues. Metadynamics analysis, including PCA, FEL, and PDF, provided crucial insights into conformational changes of both apo and holo forms of GRK5 at defined energy states. The study identifies DB02844 (S-Adenosyl-1,8-Diamino-3-Thiooctane) and DB13155 (Esculin) as promising GRK5 inhibitors, warranting further in-vitro and in-vivo validation studies.
    Language English
    Publishing date 2024-04-30
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2024.131784
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Efficient predictions of cytotoxicity of TiO

    Banerjee, Arkaprava / Kar, Supratik / Pore, Souvik / Roy, Kunal

    Nanotoxicology

    2023  Volume 17, Issue 1, Page(s) 78–93

    Abstract: The availability of experimental nanotoxicity data is in general limited which warrants both the use ... ...

    Abstract The availability of experimental nanotoxicity data is in general limited which warrants both the use of
    MeSH term(s) Quantitative Structure-Activity Relationship ; Titanium/toxicity ; Machine Learning ; Nanoparticles/toxicity
    Chemical Substances titanium dioxide (15FIX9V2JP) ; Titanium (D1JT611TNE)
    Language English
    Publishing date 2023-03-08
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2237988-5
    ISSN 1743-5404 ; 1743-5390
    ISSN (online) 1743-5404
    ISSN 1743-5390
    DOI 10.1080/17435390.2023.2186280
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: In Silico Meets In

    Kar, Supratik / Chatterjee, Sagnik

    Current drug metabolism

    2021  Volume 22, Issue 7, Page(s) 502

    MeSH term(s) Computer Simulation ; Drug Discovery ; Drug Interactions ; Humans ; Membrane Transport Proteins/metabolism ; Models, Biological ; Pharmaceutical Preparations/metabolism ; Pharmacokinetics
    Chemical Substances Membrane Transport Proteins ; Pharmaceutical Preparations
    Language English
    Publishing date 2021-09-16
    Publishing country Netherlands
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 2064815-7
    ISSN 1875-5453 ; 1389-2002
    ISSN (online) 1875-5453
    ISSN 1389-2002
    DOI 10.2174/138920022207210812124757
    Database MEDical Literature Analysis and Retrieval System OnLINE

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