Author
University of DelhiORCID 0000-0002-3321-9469Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Rachit Abhigyan, Vikas Sood, Pooja Arora, Baljeet Kaur
The paper proposes a two-phase framework combining distribution-learning and optimization to generate bioactive peptides, achieving high confidence scores and reduced KL divergence in IL-2 and IL-13 induction tasks.
Pooja Arora, Neha Periwal, Lakshay Aggarwal…·Baljeet Kaur
This paper introduces a hybrid method for classifying IL-17 inducing peptides, achieving higher accuracy and MCC than existing methods.
Neha Periwal, Shravan B. Rathod, Sankritya Sarma…·Vikas Sood
The paper analyzes SARS-CoV-2 genomic sequences over time to identify significant mutations and their effects on viral proteins.
Neha Periwal, Priya Sharma, Pooja Arora…·Vikas Sood
The paper introduces a binary k-mer approach to classify coding and non-coding RNAs across species, showing improved performance metrics compared to traditional ATGC methods.
Shravan B. Rathod, Jinal C. Soni, Priyanshu Verma…·Mohmedyasin F. Mansuri
This study uses molecular docking to analyze the binding affinities of Δ9-THC and its metabolites with human blood plasma proteins, finding Δ9-THC has the strongest binding.