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  1. Article ; Online: Omicron (B.1.1.529) - A new heavily mutated variant: Mapped location and probable properties of its mutations with an emphasis on S-glycoprotein.

    Chakraborty, Chiranjib / Bhattacharya, Manojit / Sharma, Ashish Ranjan / Mallik, Bidyut

    International journal of biological macromolecules

    2022  Volume 219, Page(s) 980–997

    Abstract: Omicron, another SARS-CoV-2 variant, has been recorded and reported as a VoC. It has already spread across >30 countries and is a highly mutated variant. We tried to understand the role of mutations in the investigated variants by comparison with ... ...

    Abstract Omicron, another SARS-CoV-2 variant, has been recorded and reported as a VoC. It has already spread across >30 countries and is a highly mutated variant. We tried to understand the role of mutations in the investigated variants by comparison with previous characterized VoC. We have mapped the mutations in Omicron S-glycoprotein's secondary and tertiary structure landscape using bioinformatics tools and statistical software and developed different models. In addition, we analyzed the effect of diverse mutations in antibody binding regions of the S-glycoprotein on the binding affinity of the investigated antibodies. This study has chosen eight significant mutations in Omicron (D614G, E484A, N501Y, Q493K, K417N, S477N, Y505H G496S), and seven of them are located in the RBD region. We also performed a comparative analysis of the ΔΔG score of these mutations to understand the stabilizing or destabilizing properties of the investigated mutations. The analysis outcome shows that D614G, Q493K, and S477N mutations are stable mutations with ΔΔG scores of 0.351 kcal/mol, 0.470 kcal/mol, and 0.628 kcal/mol, respectively, according to DynaMut estimations. While other mutations (E484A, N501Y, K417N, Y505H, G496S) showed destabilizing results. The D614G, E484A, N501Y, K417N, Y505H, and G496S mutations increased the molecular flexibility of S-glycoprotein to interact with the ACE2 receptor, increasing the variant's infectivity. Our study will contribute to research on the SARS-CoV-2 variant, Omicron, by providing information on the mutational pattern and exciting properties of these eight significant mutations, such as antibody escape and infectivity quotient (stabilizing or destabilizing; increased or decreased molecular flexibility of S-glycoprotein to interact with the human ACE2 receptor).
    MeSH term(s) Angiotensin-Converting Enzyme 2 ; COVID-19/genetics ; Glycoproteins ; Humans ; Mutation ; SARS-CoV-2/genetics
    Chemical Substances Glycoproteins ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23)
    Language English
    Publishing date 2022-08-08
    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.2022.07.254
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Omicron (B.1.1.529) - A new heavily mutated variant: Mapped location and probable properties of its mutations with an emphasis on S-glycoprotein

    Chakraborty, Chiranjib / Bhattacharya, Manojit / Sharma, Ashish Ranjan / Mallik, Bidyut

    International journal of biological macromolecules. 2022 Oct. 31, v. 219

    2022  

    Abstract: Omicron, another SARS-CoV-2 variant, has been recorded and reported as a VoC. It has already spread across >30 countries and is a highly mutated variant. We tried to understand the role of mutations in the investigated variants by comparison with ... ...

    Abstract Omicron, another SARS-CoV-2 variant, has been recorded and reported as a VoC. It has already spread across >30 countries and is a highly mutated variant. We tried to understand the role of mutations in the investigated variants by comparison with previous characterized VoC. We have mapped the mutations in Omicron S-glycoprotein's secondary and tertiary structure landscape using bioinformatics tools and statistical software and developed different models. In addition, we analyzed the effect of diverse mutations in antibody binding regions of the S-glycoprotein on the binding affinity of the investigated antibodies. This study has chosen eight significant mutations in Omicron (D614G, E484A, N501Y, Q493K, K417N, S477N, Y505H G496S), and seven of them are located in the RBD region. We also performed a comparative analysis of the ΔΔG score of these mutations to understand the stabilizing or destabilizing properties of the investigated mutations. The analysis outcome shows that D614G, Q493K, and S477N mutations are stable mutations with ΔΔG scores of 0.351 kcal/mol, 0.470 kcal/mol, and 0.628 kcal/mol, respectively, according to DynaMut estimations. While other mutations (E484A, N501Y, K417N, Y505H, G496S) showed destabilizing results. The D614G, E484A, N501Y, K417N, Y505H, and G496S mutations increased the molecular flexibility of S-glycoprotein to interact with the ACE2 receptor, increasing the variant's infectivity. Our study will contribute to research on the SARS-CoV-2 variant, Omicron, by providing information on the mutational pattern and exciting properties of these eight significant mutations, such as antibody escape and infectivity quotient (stabilizing or destabilizing; increased or decreased molecular flexibility of S-glycoprotein to interact with the human ACE2 receptor).
    Keywords Severe acute respiratory syndrome coronavirus 2 ; antibodies ; bioinformatics ; computer software ; humans ; landscapes ; pathogenicity
    Language English
    Dates of publication 2022-1031
    Size p. 980-997.
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 282732-3
    ISSN 1879-0003 ; 0141-8130
    ISSN (online) 1879-0003
    ISSN 0141-8130
    DOI 10.1016/j.ijbiomac.2022.07.254
    Database NAL-Catalogue (AGRICOLA)

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  3. Article: Therapeutic Role of Neutralizing Antibody for the Treatment against SARS-CoV-2 and Its Emerging Variants: A Clinical and Pre-Clinical Perspective.

    Bhattacharya, Manojit / Chatterjee, Srijan / Mallik, Bidyut / Sharma, Ashish Ranjan / Chakraborty, Chiranjib

    Vaccines

    2022  Volume 10, Issue 10

    Abstract: Since early 2020, the entire world has been facing a disastrous outbreak of the SARS-CoV-2 virus, with massive reporting of death and infections per day. Medical practitioners adopted certain measures such as convalescent plasma therapy, antibody ... ...

    Abstract Since early 2020, the entire world has been facing a disastrous outbreak of the SARS-CoV-2 virus, with massive reporting of death and infections per day. Medical practitioners adopted certain measures such as convalescent plasma therapy, antibody treatment, and injecting vaccines to eradicate the pandemic. In this review, we have primarily focused on the neutralizing antibodies presently under pre-clinical and clinical trials, focusing on their structures, binding affinity, mechanism of neutralization, and advantages over other therapeutics. We have also enlisted all the nAbs against SARS-CoV-2 and its emerging variants in different phases of clinical trials (phase-1, phase-II, and phase-III). The efficacy of administering antibody cocktails over the normal antibodies and their efficacy for the mutant variants of the SARS-CoV-2 virus in minimizing viral virulence is discussed. The potent neutralizing antibodies have eliminated many of the common problems posed by several other therapeutics. A common mechanism of the antibodies and their relevant sources have also been listed in this review.
    Language English
    Publishing date 2022-09-26
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2703319-3
    ISSN 2076-393X
    ISSN 2076-393X
    DOI 10.3390/vaccines10101612
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Comparative genomics, evolutionary epidemiology, and RBD-hACE2 receptor binding pattern in B.1.1.7 (Alpha) and B.1.617.2 (Delta) related to their pandemic response in UK and India.

    Chakraborty, Chiranjib / Sharma, Ashish Ranjan / Bhattacharya, Manojit / Mallik, Bidyut / Nandi, Shyam Sundar / Lee, Sang-Soo

    Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases

    2022  Volume 101, Page(s) 105282

    Abstract: Background: The massive increase in COVID-19 infection had generated a second wave in India during May-June 2021 with a critical pandemic situation. The Delta variant (B.1.617.2) was a significant factor during the second wave. Conversely, the UK had ... ...

    Abstract Background: The massive increase in COVID-19 infection had generated a second wave in India during May-June 2021 with a critical pandemic situation. The Delta variant (B.1.617.2) was a significant factor during the second wave. Conversely, the UK had passed through the crucial phase of the pandemic from November to December 2020 due to B.1.1.7. The study tried to comprehend the pandemic response in the UK and India to the spread of the B.1.1.7 (Alpha, UK) variant and B.1.617.2 (Delta, India) variant.
    Methods: This study was performed in three directions to understand the pandemic response of the two emerging variants. First, we served comparative genomics, such as genome sequence submission patterns, mutational landscapes, and structural landscapes of significant mutations (N501Y, D614G, L452R, E484Q, and P681R). Second, we performed evolutionary epidemiology using molecular phylogenetics, scatter plots of the cluster evaluation, country-wise transmission pattern, and frequency pattern. Third, the receptor binding pattern was analyzed using the Wuhan reference strain and the other two variants.
    Results: The study analyzed the country-wise and region-wise genome sequences and their submission pattern, molecular phylogenetics, scatter plot of the cluster evaluation, country-wise geographical distribution and transmission pattern, frequency pattern, entropy diversity, and mutational landscape of the two variants. The structural pattern was analyzed in the N501Y, D614G L452R, E484Q, and P681R mutations. The study found increased molecular interactivity between hACE2-RBD binding of B.1.1.7 and B.1.617.2 compared to the Wuhan reference strain. Our receptor binding analysis showed a similar indication pattern for hACE2-RBD of these two variants. However, B.1.617.2 offers slightly better stability in the hACE2-RBD binding pattern through MD simulation than B.1.1.7.
    Conclusion: The increased hACE2-RBD binding pattern of B.1.1.7 and B.1.617.2 might help to increase the infectivity compared to the Wuhan reference strain.
    MeSH term(s) Angiotensin-Converting Enzyme 2 ; COVID-19/epidemiology ; Genomics ; Humans ; Mutation ; Pandemics ; SARS-CoV-2/genetics ; Spike Glycoprotein, Coronavirus/metabolism ; United Kingdom/epidemiology
    Chemical Substances Spike Glycoprotein, Coronavirus ; spike protein, SARS-CoV-2 ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23)
    Language English
    Publishing date 2022-04-13
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2037068-4
    ISSN 1567-7257 ; 1567-1348
    ISSN (online) 1567-7257
    ISSN 1567-1348
    DOI 10.1016/j.meegid.2022.105282
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Comparative genomics, evolutionary epidemiology, and RBD-hACE2 receptor binding pattern in B.1.1.7 (alpha) and B.1.617.2 (delta) related to their pandemic response in UK and India

    Chakraborty, Chiranjib / Sharma, Ashish Ranjan / Bhattacharya, Manojit / Mallik, Bidyut / Nandi, Shyam Sundar / Lee, Sang-Soo

    Infection, genetics, and evolution. 2022 Apr. 08,

    2022  

    Abstract: The massive increase in COVID-19 infection had generated a second wave in India during May–June 2021 with a critical pandemic situation. The Delta variant (B.1.617.2) was a significant factor during the second wave. Conversely, the UK had passed through ... ...

    Abstract The massive increase in COVID-19 infection had generated a second wave in India during May–June 2021 with a critical pandemic situation. The Delta variant (B.1.617.2) was a significant factor during the second wave. Conversely, the UK had passed through the crucial phase of the pandemic from November to December 2020 due to B.1.1.7. The study tried to comprehend the pandemic response in the UK and India to the spread of the B.1.1.7 (Alpha, UK) variant and B.1.617.2 (Delta, India) variant. This study was performed in three directions to understand the pandemic response of the two emerging variants. First, we served comparative genomics, such as genome sequence submission patterns, mutational landscapes, and structural landscapes of significant mutations (N501Y, D614G, L452R, E484Q, and P681R). Second, we performed evolutionary epidemiology using molecular phylogenetics, scatter plots of the cluster evaluation, country-wise transmission pattern, and frequency pattern. Third, the receptor binding pattern was analyzed using the Wuhan reference strain and the other two variants. The study analyzed the country-wise and region-wise genome sequences and their submission pattern, molecular phylogenetics, scatter plot of the cluster evaluation, country-wise geographical distribution and transmission pattern, frequency pattern, entropy diversity, and mutational landscape of the two variants. The structural pattern was analyzed in the N501Y, D614G L452R, E484Q, and P681R mutations. The study found increased molecular interactivity between hACE2-RBD binding of B.1.1.7 and B.1.617.2 compared to the Wuhan reference strain. Our receptor binding analysis showed a similar indication pattern for hACE2-RBD of these two variants. However, B.1.617.2 offers slightly better stability in the hACE2-RBD binding pattern through MD simulation than B.1.1.7. The increased hACE2-RBD binding pattern of B.1.1.7 and B.1.617.2 might help to increase the infectivity compared to the Wuhan reference strain.
    Keywords COVID-19 infection ; entropy ; genome ; genomics ; geographical distribution ; infection ; mutation ; nucleotide sequences ; pandemic ; pathogenicity ; phylogeny ; India
    Language English
    Dates of publication 2022-0408
    Publishing place Elsevier B.V.
    Document type Article
    Note Pre-press version
    ZDB-ID 2037068-4
    ISSN 1567-1348
    ISSN 1567-1348
    DOI 10.1016/j.meegid.2022.105282
    Database NAL-Catalogue (AGRICOLA)

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  6. Article: Designing an effective therapeutic siRNA to silence RdRp gene of SARS-CoV-2

    Shawan, Mohammad Mahfuz Ali Khan / Sharma, Ashish Ranjan / Bhattacharya, Manojit / Mallik, Bidyut / Akhter, Farhana / Shakil, Md. Salman / Hossain, Md. Mozammel / Banik, Subrata / Lee, Sang-Soo / Hasan, Md. Ashraful / Chakraborty, Chiranjib

    Infection, genetics, and evolution. 2021 Sept., v. 93

    2021  

    Abstract: The devastating outbreak of COVID-19 has spread all over the world and has become a global health concern. There is no specific therapeutics to encounter the COVID-19. Small interfering RNA (siRNA)-based therapy is an efficient strategy to control human ... ...

    Abstract The devastating outbreak of COVID-19 has spread all over the world and has become a global health concern. There is no specific therapeutics to encounter the COVID-19. Small interfering RNA (siRNA)-based therapy is an efficient strategy to control human viral infections employing post-transcriptional gene silencing (PTGS) through neutralizing target complementary mRNA. RNA-dependent RNA polymerase (RdRp) encoded by the viral RdRp gene as a part of the replication-transcription complex can be adopted as an acceptable target for controlling SARS-CoV-2 mediated infection. Therefore, in the current study, accessible siRNA designing tools, including significant algorithms and parameters, were rationally used to design the candidate siRNAs against SARS-COV-2 encoded RdRp. The designed siRNA molecules possessed adequate nucleotide-based and other features for potent gene silencing. The targets of the designed siRNAs revealed no significant matches within the whole human genome, ruling out any possibilities for off-target silencing by the siRNAs. Characterization with different potential parameters of efficacy allowed selecting the finest siRNA among all the designed siRNA molecules. Further, validation assessment and target site accessibility prediction also rationalized the suitability of this siRNA molecule. Molecular docking study between the selected siRNA molecule and component of RNA interference (RNAi) pathway gave an excellent outcome. Molecular dynamics of two complexes: siRNA and argonaute complex, guide RNA, and target protein complex, have shown structural stability of these proteins. Therefore, the designed siRNA molecule might act as an effective therapeutic agent against the SARS-CoV-2 at the genome level and can prevent further outbreaks of COVID-19 in humans.
    Keywords COVID-19 infection ; RNA interference ; RNA-directed RNA polymerase ; Severe acute respiratory syndrome coronavirus 2 ; evolution ; genes ; humans ; infection ; molecular dynamics ; prediction ; therapeutics
    Language English
    Dates of publication 2021-09
    Publishing place Elsevier B.V.
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 2037068-4
    ISSN 1567-1348
    ISSN 1567-1348
    DOI 10.1016/j.meegid.2021.104951
    Database NAL-Catalogue (AGRICOLA)

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  7. Article ; Online: Designing an effective therapeutic siRNA to silence RdRp gene of SARS-CoV-2.

    Shawan, Mohammad Mahfuz Ali Khan / Sharma, Ashish Ranjan / Bhattacharya, Manojit / Mallik, Bidyut / Akhter, Farhana / Shakil, Md Salman / Hossain, Md Mozammel / Banik, Subrata / Lee, Sang-Soo / Hasan, Md Ashraful / Chakraborty, Chiranjib

    Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases

    2021  Volume 93, Page(s) 104951

    Abstract: The devastating outbreak of COVID-19 has spread all over the world and has become a global health concern. There is no specific therapeutics to encounter the COVID-19. Small interfering RNA (siRNA)-based therapy is an efficient strategy to control human ... ...

    Abstract The devastating outbreak of COVID-19 has spread all over the world and has become a global health concern. There is no specific therapeutics to encounter the COVID-19. Small interfering RNA (siRNA)-based therapy is an efficient strategy to control human viral infections employing post-transcriptional gene silencing (PTGS) through neutralizing target complementary mRNA. RNA-dependent RNA polymerase (RdRp) encoded by the viral RdRp gene as a part of the replication-transcription complex can be adopted as an acceptable target for controlling SARS-CoV-2 mediated infection. Therefore, in the current study, accessible siRNA designing tools, including significant algorithms and parameters, were rationally used to design the candidate siRNAs against SARS-COV-2 encoded RdRp. The designed siRNA molecules possessed adequate nucleotide-based and other features for potent gene silencing. The targets of the designed siRNAs revealed no significant matches within the whole human genome, ruling out any possibilities for off-target silencing by the siRNAs. Characterization with different potential parameters of efficacy allowed selecting the finest siRNA among all the designed siRNA molecules. Further, validation assessment and target site accessibility prediction also rationalized the suitability of this siRNA molecule. Molecular docking study between the selected siRNA molecule and component of RNA interference (RNAi) pathway gave an excellent outcome. Molecular dynamics of two complexes: siRNA and argonaute complex, guide RNA, and target protein complex, have shown structural stability of these proteins. Therefore, the designed siRNA molecule might act as an effective therapeutic agent against the SARS-CoV-2 at the genome level and can prevent further outbreaks of COVID-19 in humans.
    MeSH term(s) Argonaute Proteins/chemistry ; Argonaute Proteins/genetics ; Argonaute Proteins/metabolism ; Base Composition ; Coronavirus RNA-Dependent RNA Polymerase/genetics ; Coronavirus RNA-Dependent RNA Polymerase/metabolism ; Gene Silencing ; Genome, Human ; Humans ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; RNA, Messenger/genetics ; RNA, Messenger/metabolism ; RNA, Small Interfering/chemistry ; RNA, Small Interfering/genetics ; SARS-CoV-2/genetics ; Sequence Alignment
    Chemical Substances Argonaute Proteins ; RNA, Messenger ; RNA, Small Interfering ; Coronavirus RNA-Dependent RNA Polymerase (EC 2.7.7.48)
    Language English
    Publishing date 2021-06-02
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2037068-4
    ISSN 1567-7257 ; 1567-1348
    ISSN (online) 1567-7257
    ISSN 1567-1348
    DOI 10.1016/j.meegid.2021.104951
    Database MEDical Literature Analysis and Retrieval System OnLINE

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