Raminderpal Singh

Computational Prediction of Recombinant Expression Efficiency for Industrial Enzymes: An Integrated Co-Translational Sequence Analysis Platform

The paper presents a computational platform to predict recombinant expression efficiency of industrial enzymes by analyzing sequence features and co-translational processes, showing preliminary validation on solubility and other metrics.

Signaling pathway evaluation of leading ATRi, PARPi and CDK7i cancer compounds targeting the DNA Damage Response using Causal Inference

This paper uses causal inference to evaluate resistance mechanisms of DDR inhibitors in cancer, identifying pathway-specific resistance drivers and potential combination therapies.

ALaSCA: A novel in silico simulation platform to untangle biological pathway mechanisms, with a case study in Type 1 Diabetes progression

This paper introduces ALaSCA, a causal analysis platform, and applies it to study antioxidant protein effects on Type 1 Diabetes progression using proteomic data.

ALaSCA: a computational platform for quantifying the effect of proteins using Pearlian causal inference, with an example application in Alzheimer's disease

This paper introduces ALaSCA, a platform using Pearlian causal inference to identify molecular drivers of neuronal aging, with an application in Alzheimer's disease.

Supervised machine learning with feature selection for prioritization of targets related to time-based cellular dysfunction in aging

The paper uses supervised machine learning with feature selection to prioritize aging-related genes in C. elegans, identifying known and novel genes associated with cellular dysfunction markers.