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  1. Artikel ; 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  Band 319, Heft 3, Seite(n) 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-Begriff(e) 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
    Chemische Substanzen 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)
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-07-20
    Erscheinungsland United States
    Dokumenttyp 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
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: 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.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #656622
    Datenquelle COVID19

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  3. Artikel: E-Learning in Clinical Chemistry: Indian Scenario.

    Mitra, Prasenjit / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2022  Band 37, Heft 3, Seite(n) 255–256

    Sprache Englisch
    Erscheinungsdatum 2022-07-09
    Erscheinungsland India
    Dokumenttyp Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-022-01063-7
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel: Role of Supply Chain Management in Clinical Laboratory.

    Mitra, Prasenjit / Gupta, Shruti / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2023  Band 39, Heft 1, Seite(n) 1–2

    Sprache Englisch
    Erscheinungsdatum 2023-12-28
    Erscheinungsland India
    Dokumenttyp Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-023-01178-5
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel: Artificial Intelligence in Clinical Chemistry: Dawn of a New Era?

    Mitra, Prasenjit / Gupta, Shruti / Sharma, Praveen

    Indian journal of clinical biochemistry : IJCB

    2023  Band 38, Heft 4, Seite(n) 405–406

    Sprache Englisch
    Erscheinungsdatum 2023-09-14
    Erscheinungsland India
    Dokumenttyp Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-023-01150-3
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel: 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  Band 38, Heft 1, Seite(n) 1–3

    Sprache Englisch
    Erscheinungsdatum 2023-01-09
    Erscheinungsland India
    Dokumenttyp Editorial
    ZDB-ID 1033583-3
    ISSN 0974-0422 ; 0970-1915
    ISSN (online) 0974-0422
    ISSN 0970-1915
    DOI 10.1007/s12291-023-01111-w
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Buch ; 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.
    Schlagwörter Computer Science - Computation and Language
    Thema/Rubrik (Code) 400
    Erscheinungsdatum 2024-01-15
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  8. Artikel ; Online: POCT in Developing Countries.

    Mitra, Prasenjit / Sharma, Praveen

    EJIFCC

    2021  Band 32, Heft 2, Seite(n) 195–199

    Abstract: Point of Care Technology (POCT) means acquiring clinical parameters from the place where the patient is, thus generating faster test results leading to a faster turnaround time. However, improvements in patient outcomes depend on how healthcare delivery ... ...

    Abstract Point of Care Technology (POCT) means acquiring clinical parameters from the place where the patient is, thus generating faster test results leading to a faster turnaround time. However, improvements in patient outcomes depend on how healthcare delivery professionals and system utilize faster turnaround times. Thus, POCT, by itself, does not lead to better clinical outcomes. Throughout the last two decades, advances in POCT have been impressive, but its impact on developing countries depends on the present healthcare infrastructure. Presently, in most developing countries, POCT is delivered in remote locations or Physicians chamber or Hospital setup of Emergency rooms, Operation Theaters, ICU. It is applied for therapeutic aid (for treatment of certain diseases like diabetes or myocardial infarction), preventive measures (for targeted screening in high-risk groups) or surveillance measures (monitoring of routine blood parameters). There are several challenges in implementing POCT like poor patient demographics, lack of workforce, training, lacking healthcare infrastructure, reluctance in physicians to accept new technology and certain technological limits. Although it may take time, solutions to these challenges will lead to a proper implementation of POCT in the developing nations. Further, integrating it with mobile phone technology will lead to higher acceptance and application. The boom of POCT will depend on the overall improvement and capacity building in the healthcare infrastructure of developing nations.
    Sprache Englisch
    Erscheinungsdatum 2021-06-29
    Erscheinungsland Italy
    Dokumenttyp Journal Article ; Review
    ISSN 1650-3414
    ISSN (online) 1650-3414
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Buch ; Online: Milestones in Bengali Sentiment Analysis leveraging Transformer-models

    Sengupta, Saptarshi / Ghosh, Shreya / Mitra, Prasenjit / Tamiti, Tarikul Islam

    Fundamentals, Challenges and Future Directions

    2024  

    Abstract: Sentiment Analysis (SA) refers to the task of associating a view polarity (usually, positive, negative, or neutral; or even fine-grained such as slightly angry, sad, etc.) to a given text, essentially breaking it down to a supervised (since we have the ... ...

    Abstract Sentiment Analysis (SA) refers to the task of associating a view polarity (usually, positive, negative, or neutral; or even fine-grained such as slightly angry, sad, etc.) to a given text, essentially breaking it down to a supervised (since we have the view labels apriori) classification task. Although heavily studied in resource-rich languages such as English thus pushing the SOTA by leaps and bounds, owing to the arrival of the Transformer architecture, the same cannot be said for resource-poor languages such as Bengali (BN). For a language spoken by roughly 300 million people, the technology enabling them to run trials on their favored tongue is severely lacking. In this paper, we analyze the SOTA for SA in Bengali, particularly, Transformer-based models. We discuss available datasets, their drawbacks, the nuances associated with Bengali i.e. what makes this a challenging language to apply SA on, and finally provide insights for future direction to mitigate the limitations in the field.
    Schlagwörter Computer Science - Computation and Language
    Thema/Rubrik (Code) 410
    Erscheinungsdatum 2024-01-15
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Artikel: Exploring Descriptions of Movement Through Geovisual Analytics.

    Pezanowski, Scott / Mitra, Prasenjit / MacEachren, Alan M

    KN - journal of cartography and geographic information

    2022  Band 72, Heft 1, Seite(n) 5–27

    Abstract: Sensemaking using automatically extracted information from text is a challenging problem. In this paper, we address a specific type of information extraction, namely extracting information related to descriptions of movement. Aggregating and ... ...

    Abstract Sensemaking using automatically extracted information from text is a challenging problem. In this paper, we address a specific type of information extraction, namely extracting information related to descriptions of movement. Aggregating and understanding information related to descriptions of movement and lack of movement specified in text can lead to an improved understanding and sensemaking of movement phenomena of various types, e.g., migration of people and animals, impediments to travel due to COVID-19, etc. We present GeoMovement, a system that is based on combining machine learning and rule-based extraction of movement-related information with state-of-the-art visualization techniques. Along with the depiction of movement, our tool can extract and present a lack of movement. Very little prior work exists on automatically extracting descriptions of movement, especially negation and movement. Apart from addressing these, GeoMovement also provides a novel integrated framework for combining these extraction modules with visualization. We include two systematic case studies of GeoMovement that show how humans can derive meaningful geographic movement information. GeoMovement can complement precise movement data, e.g., obtained using sensors, or be used by itself when precise data is unavailable.
    Supplementary information: The online version contains supplementary material available at 10.1007/s42489-022-00098-3.
    Sprache Englisch
    Erscheinungsdatum 2022-02-24
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article
    ZDB-ID 2855040-7
    ISSN 2524-4965 ; 2524-4957
    ISSN (online) 2524-4965
    ISSN 2524-4957
    DOI 10.1007/s42489-022-00098-3
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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