Showing 1 - 18 results of 18 for search 'Sivanesan Dakshanamurthy', query time: 0.08s Refine Results
  1. 1
    IntegralVac: A Machine Learning-Based Comprehensive Multivalent Epitope Vaccine Design Method

    IntegralVac: A Machine Learning-Based Comprehensive Multivalent Epitope Vaccine Design Method by Sadhana Suri, Sivanesan Dakshanamurthy

    Published 2022-10-01
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  2. 2
    Predicting Dose-Dependent Carcinogenicity of Chemical Mixtures Using a Novel Hybrid Neural Network Framework and Mathematical Approach

    Predicting Dose-Dependent Carcinogenicity of Chemical Mixtures Using a Novel Hybrid Neural Network Framework and Mathematical Approach by Sarita Limbu, Sivanesan Dakshanamurthy

    Published 2023-07-01
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  3. 3
    Novel Methodology for the Design of Personalized Cancer Vaccine Targeting Neoantigens: Application to Pancreatic Ductal Adenocarcinoma

    Novel Methodology for the Design of Personalized Cancer Vaccine Targeting Neoantigens: Application to Pancreatic Ductal Adenocarcinoma by Kush Savsani, Sivanesan Dakshanamurthy

    Published 2024-07-01
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  4. 4
    Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method

    Predicting Chemical Carcinogens Using a Hybrid Neural Network Deep Learning Method by Sarita Limbu, Sivanesan Dakshanamurthy

    Published 2022-10-01
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  5. 5
    A New Epitope Selection Method: Application to Design a Multi-Valent Epitope Vaccine Targeting HRAS Oncogene in Squamous Cell Carcinoma

    A New Epitope Selection Method: Application to Design a Multi-Valent Epitope Vaccine Targeting HRAS Oncogene in Squamous Cell Carcinoma by Kush Savsani, Gabriel Jabbour, Sivanesan Dakshanamurthy

    Published 2021-12-01
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  6. 6
    A Peptide Vaccine Design Targeting KIT Mutations in Acute Myeloid Leukemia

    A Peptide Vaccine Design Targeting KIT Mutations in Acute Myeloid Leukemia by Minji Kim, Kush Savsani, Sivanesan Dakshanamurthy

    Published 2023-06-01
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  7. 7
    Predicting Dose-Range Chemical Toxicity using Novel Hybrid Deep Machine-Learning Method

    Predicting Dose-Range Chemical Toxicity using Novel Hybrid Deep Machine-Learning Method by Sarita Limbu, Cyril Zakka, Sivanesan Dakshanamurthy

    Published 2022-11-01
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  8. 8
    Single-Cell and Bulk RNASeq Profiling of COVID-19 Patients Reveal Immune and Inflammatory Mechanisms of Infection-Induced Organ Damage

    Single-Cell and Bulk RNASeq Profiling of COVID-19 Patients Reveal Immune and Inflammatory Mechanisms of Infection-Induced Organ Damage by Alexandrea Bass, Yiran Liu, Sivanesan Dakshanamurthy

    Published 2021-12-01
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  9. 9
    SARS-CoV-2 Omicron (BA.1 and BA.2) specific novel CD8+ and CD4+ T cell epitopes targeting spike protein

    SARS-CoV-2 Omicron (BA.1 and BA.2) specific novel CD8+ and CD4+ T cell epitopes targeting spike protein by Simone Parn, Kush Savsani, Sivanesan Dakshanamurthy

    Published 2022-12-01
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  10. 10
    AutoEpiCollect, a Novel Machine Learning-Based GUI Software for Vaccine Design: Application to Pan-Cancer Vaccine Design Targeting PIK3CA Neoantigens

    AutoEpiCollect, a Novel Machine Learning-Based GUI Software for Vaccine Design: Application to Pan-Cancer Vaccine Design Targeting PIK3CA Neoantigens by Madhav Samudrala, Sindhusri Dhaveji, Kush Savsani, Sivanesan Dakshanamurthy

    Published 2024-03-01
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  11. 11
    Dose-Dependent PFESA-BP2 Exposure Increases Risk of Liver Toxicity and Hepatocellular Carcinoma

    Dose-Dependent PFESA-BP2 Exposure Increases Risk of Liver Toxicity and Hepatocellular Carcinoma by Grace Kostecki, Kiara Chuang, Amelia Buxton, Sivanesan Dakshanamurthy

    Published 2025-02-01
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  12. 12
    A Machine-Learning-Driven Pathophysiology-Based New Approach Method for the Dose-Dependent Assessment of Hazardous Chemical Mixtures and Experimental Validations

    A Machine-Learning-Driven Pathophysiology-Based New Approach Method for the Dose-Dependent Assessment of Hazardous Chemical Mixtures and Experimental Validations by Sarita Limbu, Eric Glasgow, Tessa Block, Sivanesan Dakshanamurthy

    Published 2024-06-01
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  13. 13
    Retinoic acid mediates regulation of network formation by COUP-TFII and VE-cadherin expression by TGFbeta receptor kinase in breast cancer cells.

    Retinoic acid mediates regulation of network formation by COUP-TFII and VE-cadherin expression by TGFbeta receptor kinase in breast cancer cells. by Priya Prahalad, Sivanesan Dakshanamurthy, Habtom Ressom, Stephen W Byers

    Published 2010-04-01
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  14. 14
    AutoPepVax, a Novel Machine-Learning-Based Program for Vaccine Design: Application to a Pan-Cancer Vaccine Targeting EGFR Missense Mutations

    AutoPepVax, a Novel Machine-Learning-Based Program for Vaccine Design: Application to a Pan-Cancer Vaccine Targeting EGFR Missense Mutations by Enrico Bautista, Young Hyun Jung, Manuela Jaramillo, Harrish Ganesh, Aryaan Varma, Kush Savsani, Sivanesan Dakshanamurthy

    Published 2024-03-01
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  15. 15
    RNASeq profiling of COVID19‐infected patients identified an EIF2AK2 inhibitor as a potent SARS‐CoV‐2 antiviral

    RNASeq profiling of COVID19‐infected patients identified an EIF2AK2 inhibitor as a potent SARS‐CoV‐2 antiviral by Sidharth Jain, Samantha Rego, Steven Park, Yiran Liu, Simone Parn, Kush Savsani, David S. Perlin, Sivanesan Dakshanamurthy

    Published 2022-11-01
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  16. 16
    A novel chemo-phenotypic method identifies mixtures of salpn, vitamin D3, and pesticides involved in the development of colorectal and pancreatic cancer

    A novel chemo-phenotypic method identifies mixtures of salpn, vitamin D3, and pesticides involved in the development of colorectal and pancreatic cancer by Naiem T. Issa, Henri Wathieu, Eric Glasgow, Ivana Peran, Erika Parasido, Tianqi Li, Cynthia M. Simbulan-Rosenthal, Dean Rosenthal, Alexander V. Medvedev, Sergei S. Makarov, Christopher Albanese, Stephen W. Byers, Sivanesan Dakshanamurthy

    Published 2022-03-01
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  17. 17
    G-DOC: A Systems Medicine Platform for Personalized Oncology

    G-DOC: A Systems Medicine Platform for Personalized Oncology by Subha Madhavan, Yuriy Gusev, Michael Harris, David M. Tanenbaum, Robinder Gauba, Krithika Bhuvaneshwar, Andrew Shinohara, Kevin Rosso, Lavinia A. Carabet, Lei Song, Rebecca B. Riggins, Sivanesan Dakshanamurthy, Yue Wang, Stephen W. Byers, Robert Clarke, Louis M Weiner

    Published 2011-09-01
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  18. 18
    The E3 ubiquitin ligase component, Cereblon, is an evolutionarily conserved regulator of Wnt signaling

    The E3 ubiquitin ligase component, Cereblon, is an evolutionarily conserved regulator of Wnt signaling by Chen Shen, Anmada Nayak, Leif R. Neitzel, Amber A. Adams, Maya Silver-Isenstadt, Leah M. Sawyer, Hassina Benchabane, Huilan Wang, Nawat Bunnag, Bin Li, Daniel T. Wynn, Fan Yang, Marta Garcia-Contreras, Charles H. Williams, Sivanesan Dakshanamurthy, Charles C. Hong, Nagi G. Ayad, Anthony J. Capobianco, Yashi Ahmed, Ethan Lee, David J. Robbins

    Published 2021-09-01
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