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Current Medicinal Chemistry
|
August 8, 2023
Drug Repurposing against Novel Therapeutic Targets in <i>Plasmodium falciparum</i> for Malaria: The Computational Perspective
Shweta Rai, Shruti Shukla, Luciana Scotti, et al.
Journal of Biosciences
|
September 11, 2019
Analysis of chickpea gene co-expression networks and pathways during heavy metal stress
Birendra Singh Yadav, Swati Singh, Sameer Srivastava, et al.
Journal of Biomolecular Structure & Dynamics
|
September 9, 2020
Screening natural inhibitors against upregulated G-protein coupled receptors as potential therapeutics of Alzheimer's disease
Amit Chaudhary, Vishal Singh, Pritish Kumar Varadwaj, et al.
Scientific Reports
|
July 13, 2021
Transcriptome profiling by combined machine learning and statistical R analysis identifies TMEM236 as a potential novel diagnostic biomarker for colorectal cancer
Neha Shree Maurya, Sandeep Kushwaha, Aakash Chawade, et al.
Journal of Biomolecular Structure & Dynamics
|
November 27, 2015
Structure prediction and docking-based molecular insights of human YB-1 and nucleic acid interaction
Birendra Singh Yadav, Swati Singh, Amit Kumar Shaw, et al.
Biochemical and Biophysical Research Communications
|
December 7, 2024
Elucidating the potential of bioactive of Trichoderma sp.. in combating pathogenesis by Fusarium sp.. by targeting pectin lyases: a bioinformatics approach
Kanchan Yadav, Kavita Patel, Ashutosh Mani, et al.
Genes
|
October 28, 2023
Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms
Neha Shree Maurya, Sandeep Kushwaha, Ramesh Raju Vetukuri, et al.
Scientific Reports
|
April 19, 2023
Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta
Neha Shree Maurya, Shikha Kushwah, Sandeep Kushwaha, et al.
Genomics
|
September 14, 2020
Machine learning method using position-specific mutation based classification outperforms one hot coding for disease severity prediction in haemophilia 'A'
Vikalp Kumar Singh, Neha Shree Maurya, Ashutosh Mani, et al.
Springerplus
|
April 12, 2016
In-silico screening of Schistosoma mansoni Sirtuin1 inhibitors for prioritization of drug candidates
Raghvendra Singh, Birendra Singh Yadav, Swati Singh, et al.
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of 5
Search research articles
Search
Showing results (21-30 of 48) with videos related to
Sort By:
Page
of 5
Current Medicinal Chemistry
|
August 8, 2023
Drug Repurposing against Novel Therapeutic Targets in <i>Plasmodium falciparum</i> for Malaria: The Computational Perspective
Shweta Rai, Shruti Shukla, Luciana Scotti, et al.
Journal of Biosciences
|
September 11, 2019
Analysis of chickpea gene co-expression networks and pathways during heavy metal stress
Birendra Singh Yadav, Swati Singh, Sameer Srivastava, et al.
Journal of Biomolecular Structure & Dynamics
|
September 9, 2020
Screening natural inhibitors against upregulated G-protein coupled receptors as potential therapeutics of Alzheimer's disease
Amit Chaudhary, Vishal Singh, Pritish Kumar Varadwaj, et al.
Scientific Reports
|
July 13, 2021
Transcriptome profiling by combined machine learning and statistical R analysis identifies TMEM236 as a potential novel diagnostic biomarker for colorectal cancer
Neha Shree Maurya, Sandeep Kushwaha, Aakash Chawade, et al.
Journal of Biomolecular Structure & Dynamics
|
November 27, 2015
Structure prediction and docking-based molecular insights of human YB-1 and nucleic acid interaction
Birendra Singh Yadav, Swati Singh, Amit Kumar Shaw, et al.
Biochemical and Biophysical Research Communications
|
December 7, 2024
Elucidating the potential of bioactive of Trichoderma sp.. in combating pathogenesis by Fusarium sp.. by targeting pectin lyases: a bioinformatics approach
Kanchan Yadav, Kavita Patel, Ashutosh Mani, et al.
Genes
|
October 28, 2023
Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms
Neha Shree Maurya, Sandeep Kushwaha, Ramesh Raju Vetukuri, et al.
Scientific Reports
|
April 19, 2023
Prognostic model development for classification of colorectal adenocarcinoma by using machine learning model based on feature selection technique boruta
Neha Shree Maurya, Shikha Kushwah, Sandeep Kushwaha, et al.
Genomics
|
September 14, 2020
Machine learning method using position-specific mutation based classification outperforms one hot coding for disease severity prediction in haemophilia 'A'
Vikalp Kumar Singh, Neha Shree Maurya, Ashutosh Mani, et al.
Springerplus
|
April 12, 2016
In-silico screening of Schistosoma mansoni Sirtuin1 inhibitors for prioritization of drug candidates
Raghvendra Singh, Birendra Singh Yadav, Swati Singh, et al.
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of 5