Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
S Basith, B Manavalan, T Hwan Shin… - Medicinal research …, 2020 - Wiley Online Library
Discovery and development of biopeptides are time‐consuming, laborious, and dependent
on various factors. Data‐driven computational methods, especially machine learning (ML) …
on various factors. Data‐driven computational methods, especially machine learning (ML) …
AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes
AlgPred 2.0 is a web server developed for predicting allergenic proteins and allergenic
regions in a protein. It is an updated version of AlgPred developed in 2006. The dataset …
regions in a protein. It is an updated version of AlgPred developed in 2006. The dataset …
Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19
Abstract Interleukin 6 (IL-6) is a pro-inflammatory cytokine that stimulates acute phase
responses, hematopoiesis and specific immune reactions. Recently, it was found that the IL …
responses, hematopoiesis and specific immune reactions. Recently, it was found that the IL …
Pfeature: A tool for computing wide range of protein features and building prediction models
In the last three decades, a wide range of protein features have been discovered to annotate
a protein. Numerous attempts have been made to integrate these features in a software …
a protein. Numerous attempts have been made to integrate these features in a software …
IL13Pred: A method for predicting immunoregulatory cytokine IL-13 inducing peptides
Abstract Background Interleukin 13 (IL-13) is an immunoregulatory cytokine, primarily
released by activated T-helper 2 cells. IL-13 induces the pathogenesis of many allergic …
released by activated T-helper 2 cells. IL-13 induces the pathogenesis of many allergic …
ChAlPred: a web server for prediction of allergenicity of chemical compounds
Background Allergy is the abrupt reaction of the immune system that may occur after the
exposure to allergens such as proteins, peptides, or chemicals. In the past, various methods …
exposure to allergens such as proteins, peptides, or chemicals. In the past, various methods …
A deep learning-based method for the prediction of DNA interacting residues in a protein
S Patiyal, A Dhall, GPS Raghava - Briefings in Bioinformatics, 2022 - academic.oup.com
DNA–protein interaction is one of the most crucial interactions in the biological system,
which decides the fate of many processes such as transcription, regulation and splicing of …
which decides the fate of many processes such as transcription, regulation and splicing of …
Computing skin cutaneous melanoma outcome from the HLA-alleles and clinical characteristics
Human leukocyte antigen (HLA) are essential components of the immune system that
stimulate immune cells to provide protection and defense against cancer. Thousands of HLA …
stimulate immune cells to provide protection and defense against cancer. Thousands of HLA …
Sigma70Pred: A highly accurate method for predicting sigma70 promoter in Escherichia coli K-12 strains
S Patiyal, N Singh, MZ Ali, DS Pundir… - Frontiers in …, 2022 - frontiersin.org
Sigma70 factor plays a crucial role in prokaryotes and regulates the transcription of most of
the housekeeping genes. One of the major challenges is to predict the sigma70 promoter or …
the housekeeping genes. One of the major challenges is to predict the sigma70 promoter or …
Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm
Background Proinflammatory cytokines are correlated with the severity of disease in patients
with COVID-19. IL6-mediated activation of STAT3 proliferates proinflammatory responses …
with COVID-19. IL6-mediated activation of STAT3 proliferates proinflammatory responses …