Akanksha Rajput

About Akanksha Rajput

Akanksha Rajput, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Bioinformatics, Biofilms, Virology, Antibiotics Resistance, Big Data Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing

Anti-Biofilm: Machine Learning Assisted Prediction of IC50 Activity of Chemicals Against Biofilms of Microbes Causing Antimicrobial Resistance and Implications in Drug Repurposing

Pangenome analysis reveals the genetic basis for taxonomic classification of the Lactobacillaceae family

Reconstructing the Transcriptional Regulatory Network of Probiotic L. reuteri is Enabled by Transcriptomics and Machine Learning

Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa

Biofilm-i: A Platform for Predicting Biofilm Inhibitors Using Quantitative Structure—Relationship (QSAR) Based Regression Models to Curb Antibiotic Resistance

Anti-Ebola: An initiative to predict Ebola virus inhibitors through machine learning

Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators

Akanksha Rajput Information

University

Position

Postdoctoral Scholar

Citations(all)

753

Citations(since 2020)

622

Cited By

329

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

18

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Akanksha Rajput Skills & Research Interests

Bioinformatics

Biofilms

Virology

Antibiotics Resistance

Big Data Analysis

Top articles of Akanksha Rajput

Anti-Dengue: A Machine Learning-Assisted Prediction of Small Molecule Antivirals against Dengue Virus and Implications in Drug Repurposing

Viruses

2023/12/27

Anti-Biofilm: Machine Learning Assisted Prediction of IC50 Activity of Chemicals Against Biofilms of Microbes Causing Antimicrobial Resistance and Implications in Drug Repurposing

Journal of Molecular Biology

2023/4/20

Akanksha Rajput
Akanksha Rajput

H-Index: 9

Manoj Kumar
Manoj Kumar

H-Index: 5

Pangenome analysis reveals the genetic basis for taxonomic classification of the Lactobacillaceae family

Food Microbiology

2023

Akanksha Rajput
Akanksha Rajput

H-Index: 9

Reconstructing the Transcriptional Regulatory Network of Probiotic L. reuteri is Enabled by Transcriptomics and Machine Learning

Msystems

2024/2/13

Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa

Nucleic Acids Research

2022/9/12

Akanksha Rajput
Akanksha Rajput

H-Index: 9

Anand V Sastry
Anand V Sastry

H-Index: 13

Biofilm-i: A Platform for Predicting Biofilm Inhibitors Using Quantitative Structure—Relationship (QSAR) Based Regression Models to Curb Antibiotic Resistance

Molecules

2022/7/29

Akanksha Rajput
Akanksha Rajput

H-Index: 9

Manoj Kumar
Manoj Kumar

H-Index: 5

Anti-Ebola: An initiative to predict Ebola virus inhibitors through machine learning

Molecular Diversity

2022/6

Akanksha Rajput
Akanksha Rajput

H-Index: 9

Manoj Kumar
Manoj Kumar

H-Index: 5

Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators

Nucleic Acids Research

2022/4/22

Akanksha Rajput
Akanksha Rajput

H-Index: 9

Anand V Sastry
Anand V Sastry

H-Index: 13

Targeting non-structural proteins of Hepatitis C virus for predicting repurposed drugs using QSAR and machine learning approaches

Computational and Structural Biotechnology Journal

2022/1/1

Akanksha Rajput
Akanksha Rajput

H-Index: 9

Manoj Kumar
Manoj Kumar

H-Index: 5

Computational identification of repurposed drugs against viruses causing epidemics and pandemics via drug-target network analysis

Computers in Biology and Medicine

2021/9/1

DrugRepV: a compendium of repurposed drugs and chemicals targeting epidemic and pandemic viruses

Briefings in bioinformatics

2021/3

Akanksha Rajput
Akanksha Rajput

H-Index: 9

Manoj Kumar
Manoj Kumar

H-Index: 5

Pangenome analytics reveal two-component systems as conserved targets in ESKAPEE pathogens

Msystems

2021/2/23

Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning

Computational and structural biotechnology journal

2021/1/1

Identifying the effect of vancomycin on health care–associated methicillin-resistant Staphylococcus aureus strains using bacteriological and physiological media

GigaScience

2021/1

Identifying the effect of vancomycin on HA-MRSA strains using bacteriological and physiological media

bioRxiv

2020/5/7

Profiling the effect of nafcillin on HA-MRSA D592 using bacteriological and physiological media

bioRxiv

2020/5/1

Efficacy of Anti-Biofilm Agents in Targeting ESKAPE Pathogens with a Focus on Antibiotic Drug Resistance

2020

Akanksha Rajput
Akanksha Rajput

H-Index: 9

Sakshi
Sakshi

H-Index: 3

Manoj Kumar
Manoj Kumar

H-Index: 5

NipahVR: a resource of multi-targeted putative therapeutics and epitopes for the Nipah virus

Database

2020

Characterizing the response of Acinetobacter baumannii ATCC 17978 to azithromycin in multiple in vitro growth conditions

bioRxiv

2020/5/20

See List of Professors in Akanksha Rajput University(University of California, San Diego)

Co-Authors

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