Publications by authors named "R P Mall"
The problem of protein structure determination is usually solved by X-ray crystallography. Several in silico deep learning methods have been developed to overcome the high attrition rate, cost of experiments and extensive trial-and-error settings, for predicting the crystallization propensities of proteins based on their sequences. In this work, we benchmark the power of open protein language models (PLMs) through the TRILL platform, a be-spoke framework democratizing the usage of PLMs for the task of predicting crystallization propensities of proteins.
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- High-grade serous ovarian cancer (HGSC) shows resistance to immunotherapy but some patients have partial or complete responses, indicating a potential molecular basis for immunity in specific subpopulations.
- An algorithm called CONSTRU was developed to analyze gene expression profiles in HGSC and identify genetic factors that influence the effectiveness of anti-tumor immunity, resulting in a stratification signature (STRATsig) that divides patients into groups based on their immune response.
- Results indicated that patient survival and immune function varied significantly among these groups, with one group (S-T1) exhibiting strong immune suppression and dysfunction, while another group (S-T3) showed improved immune function, antigen presentation, and survival benefits correlated with genetic mutations.
Background: The evidence for acute effects of air pollution on mortality in India is scarce, despite the extreme concentrations of air pollution observed. This is the first multi-city study in India that examines the association between short-term exposure to PM and daily mortality using causal methods that highlight the importance of locally generated air pollution.
Methods: We applied a time-series analysis to ten cities in India between 2008 and 2019.
NLRs constitute a large, highly conserved family of cytosolic pattern recognition receptors that are central to health and disease, making them key therapeutic targets. NLRC5 is an enigmatic NLR with mutations associated with inflammatory and infectious diseases, but little is known about its function as an innate immune sensor and cell death regulator. Therefore, we screened for NLRC5's role in response to infections, PAMPs, DAMPs, and cytokines.
View Article and Find Full Text PDFPeptide- and protein-based therapeutics are becoming a promising treatment regimen for myriad diseases. Toxicity of proteins is the primary hurdle for protein-based therapies. Thus, there is an urgent need for accurate in silico methods for determining toxic proteins to filter the pool of potential candidates.
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