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  1. Article ; Online: Concept of dementia (

    Aleem, Mohd / Khan, Md Imran

    Journal of complementary & integrative medicine

    2023  

    Abstract: Objectives: This review focused on the concept of dementia in the Unani system of medicine and comprehensive, updated information on : Methods: The classical literature on : Results: Majoon Vaj: Conclusions: The literature of Unani medicine is ... ...

    Abstract Objectives: This review focused on the concept of dementia in the Unani system of medicine and comprehensive, updated information on
    Methods: The classical literature on
    Results: Majoon Vaj
    Conclusions: The literature of Unani medicine is quite rich in discussing the pathophysiological basis of memory disorders. It argues that memory, retention, and retrieval are regulated by a complex process involving various faculties.
    Language English
    Publishing date 2023-07-03
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2197618-1
    ISSN 1553-3840 ; 2194-6329
    ISSN (online) 1553-3840
    ISSN 2194-6329
    DOI 10.1515/jcim-2021-0447
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A comprehensive review on the applications of ferrite nanoparticles in the diagnosis and treatment of breast cancer.

    Akhtar, Muhammad Furqan / Afzaal, Aysha / Saleem, Ammara / Roheel, Amna / Khan, Muhammad Imran / Imran, Mohd

    Medical oncology (Northwood, London, England)

    2024  Volume 41, Issue 2, Page(s) 53

    Abstract: Various conventional treatments including endocrine therapy, radiotherapy, surgery, and chemotherapy have been used for several decades to treat breast cancer; however, these therapies exhibit various life-threatening and debilitating adverse effects in ... ...

    Abstract Various conventional treatments including endocrine therapy, radiotherapy, surgery, and chemotherapy have been used for several decades to treat breast cancer; however, these therapies exhibit various life-threatening and debilitating adverse effects in patients. Additionally, combination therapies are required for prompt action as well as to prevent drug resistance toward standard breast cancer medications. Ferrite nanoparticles (NPs) are increasingly gaining momentum for their application in the diagnosis and treatment of breast cancer. Spinel ferrites are particularly used against breast cancer and have shown in vitro and in vivo better efficacy as compared to conventional cancer therapies. Magnetic resonance imaging contrast agents, magnetic particle imaging tracers, cell separation, and immune assays are some aspects related to the diagnosis of breast cancer against which different ferrite NPs have been successfully evaluated. Moreover, citrate-coated nickel ferrite, Mg/Zn ferrites, poly amidoamine dendrimers, cobalt ferrites, graphene oxide cobalt ferrites, doxorubicin functionalized cobalt ferrites, chitosan-coated zinc ferrites, PEG-coated cobalt ferrite, and copper ferrite NPs have demonstrated antiproliferative action against different breast cancer cells. Oxaliplatin-loaded polydopamine/BSA-copper ferrites, functionalized cobalt and zinc ferrites of curcumin, oxaliplatin-copper ferrite NPs, tamoxifen/diosgenin encapsulated ZnO/Mn ferrites, and fabricated core-shell fibers of doxorubicin have been developed to increase the bioavailability and anti-proliferative effect and decrease the toxicity of anticancer drugs. These ferrite NPs showed an anticancer effect at different doses in the presence or absence of an external magnetic field. The present review covers the in-depth investigations of ferrite NPs for the diagnosis and management of breast cancer.
    MeSH term(s) Humans ; Female ; Breast Neoplasms/diagnosis ; Breast Neoplasms/drug therapy ; Copper ; Oxaliplatin ; Doxorubicin ; Cobalt ; Zinc
    Chemical Substances ferrite (1317-54-0) ; Copper (789U1901C5) ; Oxaliplatin (04ZR38536J) ; Doxorubicin (80168379AG) ; Cobalt (3G0H8C9362) ; Zinc (J41CSQ7QDS)
    Language English
    Publishing date 2024-01-10
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1201189-7
    ISSN 1559-131X ; 0736-0118 ; 1357-0560
    ISSN (online) 1559-131X
    ISSN 0736-0118 ; 1357-0560
    DOI 10.1007/s12032-023-02277-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Editorial: Medicinal chemistry of active pharmaceutical ingredients of drug products.

    Imran, Mohd / Alhadidi, Qasim M / Khan, Shah Alam / Khamees Thabet, Hamdy / Alam, Ozair / Shakeel, Faiyaz / Rahman, Ziyaur / Amjad, Muhammad Wahab

    Frontiers in chemistry

    2024  Volume 12, Page(s) 1409042

    Language English
    Publishing date 2024-04-17
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2711776-5
    ISSN 2296-2646
    ISSN 2296-2646
    DOI 10.3389/fchem.2024.1409042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: In vitro

    Fathima A, Farhath / Khan, Imran / Irfhan N, Mohammed / Ahmed N, Zaheer / Anwar, Noman / Khan, Mohd Shahnawaz / Yadav, Dharmendra Kumar / Shamsi, Shariq / Shamsi, Anas

    Heliyon

    2024  Volume 10, Issue 3, Page(s) e25284

    Abstract: ... ...

    Abstract Ustukhuddūs
    Language English
    Publishing date 2024-01-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e25284
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Human Secretary Phospholipase A2 Mutations and Their Clinical Implications.

    Khan, Mohd Imran / Hariprasad, Gururao

    Journal of inflammation research

    2020  Volume 13, Page(s) 551–561

    Abstract: Phospholipases A2 ( ... ...

    Abstract Phospholipases A2 (PLA
    Language English
    Publishing date 2020-09-16
    Publishing country New Zealand
    Document type Journal Article ; Review
    ZDB-ID 2494878-0
    ISSN 1178-7031
    ISSN 1178-7031
    DOI 10.2147/JIR.S269557
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Comparative Proteomics and Genome-Wide Druggability Analyses Prioritized Promising Therapeutic Targets against Drug-Resistant

    Aiman, Sara / Alzahrani, A Khuzaim / Ali, Fawad / Abida / Imran, Mohd / Kamal, Mehnaz / Usman, Muhammad / Thabet, Hamdy Khamees / Li, Chunhua / Khan, Asifullah

    Microorganisms

    2023  Volume 11, Issue 1

    Abstract: Leishmania ... ...

    Abstract Leishmania tropica
    Language English
    Publishing date 2023-01-16
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720891-6
    ISSN 2076-2607
    ISSN 2076-2607
    DOI 10.3390/microorganisms11010228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Structure-based identification of potential natural compound inhibitors targeting bacterial cytoskeleton protein FtsZ from

    Roy Chowdhury, Sanghati / Saha, Redam / Koley, Tirthankar / Naz, Farah / Sharma, Saurabh / Khan, Mohd Imran / Kumar, Manoj / Kaur, Punit / Ethayathulla, Abdul S

    Journal of biomolecular structure & dynamics

    2024  , Page(s) 1–13

    Abstract: Acinetobacter ... ...

    Abstract Acinetobacter baumannii
    Language English
    Publishing date 2024-01-18
    Publishing country England
    Document type Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2024.2304675
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Hybrid deep learning approach for multi-step-ahead prediction for daily maximum temperature and heatwaves

    Khan, Mohd Imran / Maity, Rajib

    Theoretical and applied climatology. 2022 Aug., v. 149, no. 3-4

    2022  

    Abstract: Availability of increasing information and digital meteorological data leads to an opportunity for better simulations/prediction of complex hydroclimatic phenomena. However, volume and size of such data and underlying complex association pose many ... ...

    Abstract Availability of increasing information and digital meteorological data leads to an opportunity for better simulations/prediction of complex hydroclimatic phenomena. However, volume and size of such data and underlying complex association pose many challenges to traditional approaches. This study focuses on the potential of a hybrid deep learning (DL) approach, a combination of one-dimensional convolutional neural network (Conv1D) and long short-term memory (LSTM) neural network (hereinafter hybrid Conv1D-LSTM), for multi-step-ahead (1-day to 10-day) daily maximum temperature prediction. The proposed approach is applied to twenty-eight major cities in India, located in different climate regimes, to explore its potential to predict the daily maximum temperature and to foresee the heatwave events. Seven meteorological precursors, closely associated with daily temperature variation along with the month index are used as input and the proposed approach is expected to efficiently learn the complex relationship between the precursors and daily maximum temperature. Apart from its alluring performance in predicting the daily maximum temperature, the results also show some promise to raise an alert for the upcoming heatwaves. The performance of the proposed hybrid model is also compared with other machine learning (ML), DL-based approaches, and three popular weather applications (weather apps) that help to portray the superiority of the proposed hybrid DL–based approach.
    Keywords climate ; climatology ; meteorological data ; neural networks ; prediction ; temperature ; India
    Language English
    Dates of publication 2022-08
    Size p. 945-963.
    Publishing place Springer Vienna
    Document type Article
    ZDB-ID 1463177-5
    ISSN 1434-4483 ; 0177-798X
    ISSN (online) 1434-4483
    ISSN 0177-798X
    DOI 10.1007/s00704-022-04103-7
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: COVID 19: challenges for vegetable production in India

    Siddiquei, Mohd Imran / Khan, Waseem

    International journal of vegetable science

    2021  Volume 27, Issue 1/6, Page(s) 344

    Language English
    Document type Article
    ZDB-ID 2390923-7
    ISSN 1931-5260
    Database Current Contents Nutrition, Environment, Agriculture

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  10. Article: Investigating the Mechanism of Inhibition of Cyclin-Dependent Kinase 6 Inhibitory Potential by Selonsertib: Newer Insights Into Drug Repurposing.

    Baig, Mohammad Hassan / Yousuf, Mohd / Khan, Mohd Imran / Khan, Imran / Ahmad, Irfan / Alshahrani, Mohammad Y / Hassan, Md Imtaiyaz / Dong, Jae-June

    Frontiers in oncology

    2022  Volume 12, Page(s) 865454

    Abstract: Cyclin-dependent kinases (CDKs) play significant roles in numerous physiological, and are considered an attractive drug target for cancer, neurodegenerative, and inflammatory diseases. In the present study, we have aimed to investigate the binding ... ...

    Abstract Cyclin-dependent kinases (CDKs) play significant roles in numerous physiological, and are considered an attractive drug target for cancer, neurodegenerative, and inflammatory diseases. In the present study, we have aimed to investigate the binding affinity and inhibitory potential of selonsertib toward CDK6. Using the drug repurposing approach, we performed molecular docking of selonsertib with CDK6 and observed a significant binding affinity. To ascertain, we further performed essential dynamics analysis and free energy calculation, which suggested the formation of a stable selonsertib-CDK6 complex. The
    Language English
    Publishing date 2022-05-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.865454
    Database MEDical Literature Analysis and Retrieval System OnLINE

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