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 …
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 …
Computational resources in healthcare
Healthcare is the most important component in the life of all human beings as each
individual wish to have happy, healthy, and wealthy life‐span. Most of the branches of …
individual wish to have happy, healthy, and wealthy life‐span. Most of the branches of …
PRR-HyPred: A two-layer hybrid framework to predict pattern recognition receptors and their families by employing sequence encoded optimal features
Pattern recognition receptors (PRRs) recognize distinct features on the surface of pathogens
or damaged cells and play key roles in the innate immune system. PRRs are divided into …
or damaged cells and play key roles in the innate immune system. PRRs are divided into …
Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway
Aberrant expressions of apoptotic genes have been associated with papillary thyroid
carcinoma (PTC) in the past, however, their prognostic role and utility as biomarkers remains …
carcinoma (PTC) in the past, however, their prognostic role and utility as biomarkers remains …
Prediction of Anti‐Freezing Proteins From Their Evolutionary Profile
Prediction of antifreeze proteins (AFPs) holds significant importance due to their diverse
applications in healthcare. An inherent limitation of current AFP prediction methods is their …
applications in healthcare. An inherent limitation of current AFP prediction methods is their …
Prediction of Plant Resistance Proteins Using Alignment‐Based and Alignment‐Free Approaches
Plant disease resistance (PDR) proteins are critical in identifying plant pathogens. Predicting
PDR protein is essential for understanding plant–pathogen interactions and developing …
PDR protein is essential for understanding plant–pathogen interactions and developing …
DMPPred: a tool for identification of antigenic regions responsible for inducing type 1 diabetes mellitus
There are a number of antigens that induce autoimmune response against β-cells, leading
to type 1 diabetes mellitus (T1DM). Recently, several antigen-specific immunotherapies …
to type 1 diabetes mellitus (T1DM). Recently, several antigen-specific immunotherapies …
In-Silico Tool for Predicting, Scanning, and Designing Defensins
Defensins are host defense peptides present in nearly all living species, which play a crucial
role in innate immunity. These peptides provide protection to the host, either by killing …
role in innate immunity. These peptides provide protection to the host, either by killing …
Sequence based prediction of pattern recognition receptors by using feature selection technique
P Feng, L Feng - International Journal of Biological Macromolecules, 2020 - Elsevier
Pattern recognition receptors (PRRs) play crucial roles in the innate immune system, and
are able to identify pathogen-associated molecular patterns and damage-associated …
are able to identify pathogen-associated molecular patterns and damage-associated …