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  1. Article: E-Learning in Clinical Chemistry: Indian Scenario.

    Mitra, Prasenjit / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2022  Volume 37, Issue 3, Page(s) 255–256

    Language English
    Publishing date 2022-07-09
    Publishing country India
    Document type Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-022-01063-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2949: Show issues Location:
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  2. Article: Artificial Intelligence in Clinical Chemistry: Dawn of a New Era?

    Mitra, Prasenjit / Gupta, Shruti / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2023  Volume 38, Issue 4, Page(s) 405–406

    Language English
    Publishing date 2023-09-14
    Publishing country India
    Document type Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-023-01150-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Role of Supply Chain Management in Clinical Laboratory.

    Mitra, Prasenjit / Gupta, Shruti / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2023  Volume 39, Issue 1, Page(s) 1–2

    Language English
    Publishing date 2023-12-28
    Publishing country India
    Document type Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-023-01178-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Inhibiting fusion with cellular membrane system: therapeutic options to prevent severe acute respiratory syndrome coronavirus-2 infection.

    Mitra, Prasenjit

    American journal of physiology. Cell physiology

    2020  Volume 319, Issue 3, Page(s) C500–C509

    Abstract: Severe acute respiratory syndrome coronavirus (SARS-CoV), an enveloped virus with a positive-sense single-stranded RNA genome, facilitates the host cell entry through intricate interactions with proteins and lipids of the cell membrane. The detailed ... ...

    Abstract Severe acute respiratory syndrome coronavirus (SARS-CoV), an enveloped virus with a positive-sense single-stranded RNA genome, facilitates the host cell entry through intricate interactions with proteins and lipids of the cell membrane. The detailed molecular mechanism involves binding to the host cell receptor and fusion at the plasma membrane or after being trafficked to late endosomes under favorable environmental conditions. A crucial event in the process is the proteolytic cleavage of the viral spike protein by the host's endogenous proteases that releases the fusion peptide enabling fusion with the host cellular membrane system. The present review details the mechanism of viral fusion with the host and highlights the therapeutic options that prevent SARS-CoV-2 entry in humans.
    MeSH term(s) Amino Acid Sequence ; Angiotensin-Converting Enzyme 2 ; Animals ; Betacoronavirus/drug effects ; Betacoronavirus/metabolism ; COVID-19 ; Cell Membrane/drug effects ; Cell Membrane/metabolism ; Cell Membrane/virology ; Coronavirus Infections/metabolism ; Coronavirus Infections/prevention & control ; Humans ; Pandemics/prevention & control ; Peptidyl-Dipeptidase A/metabolism ; Pneumonia, Viral/metabolism ; Pneumonia, Viral/prevention & control ; Protease Inhibitors/pharmacology ; Protease Inhibitors/therapeutic use ; Protein Binding/drug effects ; Protein Binding/physiology ; SARS-CoV-2 ; Spike Glycoprotein, Coronavirus/antagonists & inhibitors ; Spike Glycoprotein, Coronavirus/metabolism ; Viral Fusion Proteins/drug effects ; Viral Fusion Proteins/metabolism
    Chemical Substances Protease Inhibitors ; Spike Glycoprotein, Coronavirus ; Viral Fusion Proteins ; spike protein, SARS-CoV-2 ; Peptidyl-Dipeptidase A (EC 3.4.15.1) ; ACE2 protein, human (EC 3.4.17.23) ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23)
    Keywords covid19
    Language English
    Publishing date 2020-07-20
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 392098-7
    ISSN 1522-1563 ; 0363-6143
    ISSN (online) 1522-1563
    ISSN 0363-6143
    DOI 10.1152/ajpcell.00260.2020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Extracellular Vesicles (EVs) as "A Window to the Brain": Potential, Challenges and Future Perspectives.

    Mitra, Prasenjit / Gupta, Shruti / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2023  Volume 38, Issue 1, Page(s) 1–3

    Language English
    Publishing date 2023-01-09
    Publishing country India
    Document type Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-023-01111-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2949: Show issues Location:
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  6. Article: Inhibiting fusion with cellular membrane system: therapeutic options to prevent severe acute respiratory syndrome coronavirus-2 infection

    Mitra, Prasenjit

    Abstract: Severe acute respiratory syndrome coronavirus (SARS-CoV), an enveloped virus with a positive-sense single-stranded RNA genome, facilitates the host cell entry through intricate interactions with proteins and lipids of the cell membrane. The detailed ... ...

    Abstract Severe acute respiratory syndrome coronavirus (SARS-CoV), an enveloped virus with a positive-sense single-stranded RNA genome, facilitates the host cell entry through intricate interactions with proteins and lipids of the cell membrane. The detailed molecular mechanism involves binding to the host cell receptor and fusion at the plasma membrane or after being trafficked to late endosomes under favorable environmental conditions. A crucial event in the process is the proteolytic cleavage of the viral spike protein by the host's endogenous proteases that releases the fusion peptide enabling fusion with the host cellular membrane system. The present review details the mechanism of viral fusion with the host and highlights the therapeutic options that prevent SARS-CoV-2 entry in humans.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #656622
    Database COVID19

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  7. Article: Epigenetics in Lead Toxicity: New Avenues for Future Research.

    Mitra, Prasenjit / Misra, Sanjeev / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2021  Volume 36, Issue 2, Page(s) 129–130

    Language English
    Publishing date 2021-03-18
    Publishing country India
    Document type Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-021-00969-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2949: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  8. Article: Impact of COVID-19 on Clinical Biochemistry: Indian Scenario.

    Mitra, Prasenjit / Misra, Sanjeev / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2021  Volume 36, Issue 4, Page(s) 385–386

    Language English
    Publishing date 2021-09-06
    Publishing country India
    Document type Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-021-01003-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2949: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  9. Article: One Year of COVID-19: The "New Normal".

    Mitra, Prasenjit / Misra, Sanjeev / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2021  Volume 36, Issue 1, Page(s) 1–2

    Language English
    Publishing date 2021-01-05
    Publishing country India
    Document type Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-020-00954-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Leveraging External Knowledge Resources to Enable Domain-Specific Comprehension

    Sengupta, Saptarshi / Heaton, Connor / Mitra, Prasenjit / Sarkar, Soumalya

    2024  

    Abstract: Machine Reading Comprehension (MRC) has been a long-standing problem in NLP and, with the recent introduction of the BERT family of transformer based language models, it has come a long way to getting solved. Unfortunately, however, when BERT variants ... ...

    Abstract Machine Reading Comprehension (MRC) has been a long-standing problem in NLP and, with the recent introduction of the BERT family of transformer based language models, it has come a long way to getting solved. Unfortunately, however, when BERT variants trained on general text corpora are applied to domain-specific text, their performance inevitably degrades on account of the domain shift i.e. genre/subject matter discrepancy between the training and downstream application data. Knowledge graphs act as reservoirs for either open or closed domain information and prior studies have shown that they can be used to improve the performance of general-purpose transformers in domain-specific applications. Building on existing work, we introduce a method using Multi-Layer Perceptrons (MLPs) for aligning and integrating embeddings extracted from knowledge graphs with the embeddings spaces of pre-trained language models (LMs). We fuse the aligned embeddings with open-domain LMs BERT and RoBERTa, and fine-tune them for two MRC tasks namely span detection (COVID-QA) and multiple-choice questions (PubMedQA). On the COVID-QA dataset, we see that our approach allows these models to perform similar to their domain-specific counterparts, Bio/Sci-BERT, as evidenced by the Exact Match (EM) metric. With regards to PubMedQA, we observe an overall improvement in accuracy while the F1 stays relatively the same over the domain-specific models.
    Keywords Computer Science - Computation and Language
    Subject code 400
    Publishing date 2024-01-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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