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Biomolecules
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August 26, 2022
A Machine Learning Approach to Identify the Importance of Novel Features for CRISPR/Cas9 Activity Prediction
Dhvani Sandip Vora, Yugesh Verma, Durai Sundar
ACS Omega
|
July 22, 2024
Identifying High-Quality Leads among Screened Anticancerous Compounds Using SMILES Representations
Swathik Clarancia Peter, Yogesh Kalakoti, Durai Sundar
Methods (San Diego, Calif.)
|
April 19, 2024
DNA shape features improve prediction of CRISPR/Cas9 activity
Dhvani Sandip Vora, Sakshi Manoj Bhandari, Durai Sundar
Microbiology Resource Announcements
|
July 21, 2022
Genome Sequence of a Potent Biosurfactant-Producing Bacterium, <i>Franconibacter</i> sp. Strain IITDAS19
Jyoti Sharma, Yogesh Kalakoti, Preeti Srivastava, et al.
Colloids and Surfaces. B, Biointerfaces
|
March 19, 2022
Characterization of a potent biosurfactant produced from Franconibacter sp. IITDAS19 and its application in enhanced oil recovery
Jyoti Sharma, Atya Kapley, Durai Sundar, et al.
BMC Genomics
|
February 4, 2017
An ensemble micro neural network approach for elucidating interactions between zinc finger proteins and their target DNA
Shayoni Dutta, Spandan Madan, Harsh Parikh, et al.
Journal of Biomolecular Structure & Dynamics
|
July 26, 2022
Implementing accelerated dynamics to unravel the effects of high-fidelity Cas9 mutants on target DNA and guide RNA hybrid stability
Dhvani Sandip Vora, Atul Kumar Jaiswal, Durai Sundar
Bioinformatics (Oxford, England)
|
January 4, 2024
M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddings
Aditi Shenoy, Yogesh Kalakoti, Durai Sundar, et al.
BMC Genomics
|
December 15, 2010
Probing the anticancer mechanism of prospective herbal drug Withaferin A on mammals: a case study on human and bovine proteasomes
Abhinav Grover, Ashutosh Shandilya, Virendra S Bisaria, et al.
Genomics
|
May 1, 2020
Evaluation of off-targets predicted by sgRNA design tools
Jaspreet Kaur Dhanjal, Samvit Dammalapati, Shreya Pal, et al.
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of 12
Search research articles
Search
Showing results (21-30 of 114) with videos related to
Sort By:
Page
of 12
Biomolecules
|
August 26, 2022
A Machine Learning Approach to Identify the Importance of Novel Features for CRISPR/Cas9 Activity Prediction
Dhvani Sandip Vora, Yugesh Verma, Durai Sundar
ACS Omega
|
July 22, 2024
Identifying High-Quality Leads among Screened Anticancerous Compounds Using SMILES Representations
Swathik Clarancia Peter, Yogesh Kalakoti, Durai Sundar
Methods (San Diego, Calif.)
|
April 19, 2024
DNA shape features improve prediction of CRISPR/Cas9 activity
Dhvani Sandip Vora, Sakshi Manoj Bhandari, Durai Sundar
Microbiology Resource Announcements
|
July 21, 2022
Genome Sequence of a Potent Biosurfactant-Producing Bacterium, <i>Franconibacter</i> sp. Strain IITDAS19
Jyoti Sharma, Yogesh Kalakoti, Preeti Srivastava, et al.
Colloids and Surfaces. B, Biointerfaces
|
March 19, 2022
Characterization of a potent biosurfactant produced from Franconibacter sp. IITDAS19 and its application in enhanced oil recovery
Jyoti Sharma, Atya Kapley, Durai Sundar, et al.
BMC Genomics
|
February 4, 2017
An ensemble micro neural network approach for elucidating interactions between zinc finger proteins and their target DNA
Shayoni Dutta, Spandan Madan, Harsh Parikh, et al.
Journal of Biomolecular Structure & Dynamics
|
July 26, 2022
Implementing accelerated dynamics to unravel the effects of high-fidelity Cas9 mutants on target DNA and guide RNA hybrid stability
Dhvani Sandip Vora, Atul Kumar Jaiswal, Durai Sundar
Bioinformatics (Oxford, England)
|
January 4, 2024
M-Ionic: prediction of metal-ion-binding sites from sequence using residue embeddings
Aditi Shenoy, Yogesh Kalakoti, Durai Sundar, et al.
BMC Genomics
|
December 15, 2010
Probing the anticancer mechanism of prospective herbal drug Withaferin A on mammals: a case study on human and bovine proteasomes
Abhinav Grover, Ashutosh Shandilya, Virendra S Bisaria, et al.
Genomics
|
May 1, 2020
Evaluation of off-targets predicted by sgRNA design tools
Jaspreet Kaur Dhanjal, Samvit Dammalapati, Shreya Pal, et al.
Page
of 12