Bioactive peptides: Synthesis, sources, applications, and proposed mechanisms of action

M Akbarian, A Khani, S Eghbalpour… - International journal of …, 2022 - mdpi.com
Bioactive peptides are a group of biological molecules that are normally buried in the
structure of parent proteins and become active after the cleavage of the proteins. Another …

Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools

R Su, J Hu, Q Zou, B Manavalan… - Briefings in …, 2020 - academic.oup.com
Cell-penetrating peptides (CPPs) facilitate the delivery of therapeutically relevant molecules,
including DNA, proteins and oligonucleotides, into cells both in vitro and in vivo. This unique …

AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes

N Sharma, S Patiyal, A Dhall, A Pande… - Briefings in …, 2021 - academic.oup.com
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 …

DRAMP 2.0, an updated data repository of antimicrobial peptides

X Kang, F Dong, C Shi, S Liu, J Sun, J Chen, H Li, H Xu… - Scientific data, 2019 - nature.com
Abstract Data Repository of Antimicrobial Peptides (DRAMP, http://dramp. cpu-bioinfor. org/)
is an open-access comprehensive database containing general, patent and clinical …

Design of a multiepitope‐based peptide vaccine against the e protein of human COVID‐19: an immunoinformatics approach

MI Abdelmageed, AH Abdelmoneim… - BioMed research …, 2020 - Wiley Online Library
Background. A new endemic disease has spread across Wuhan City, China, in December
2019. Within few weeks, the World Health Organization (WHO) announced a novel …

mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation

B Manavalan, S Basith, TH Shin, L Wei, G Lee - Bioinformatics, 2019 - academic.oup.com
Motivation Cardiovascular disease is the primary cause of death globally accounting for
approximately 17.7 million deaths per year. One of the stakes linked with cardiovascular …

mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides

V Boopathi, S Subramaniyam, A Malik, G Lee… - International journal of …, 2019 - mdpi.com
Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer
cells. The accurate prediction of ACPs from given peptide sequences remains as an open …

Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19

A Dhall, S Patiyal, N Sharma, SS Usmani… - Briefings in …, 2021 - academic.oup.com
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 …

[HTML][HTML] AtbPpred: a robust sequence-based prediction of anti-tubercular peptides using extremely randomized trees

B Manavalan, S Basith, TH Shin, L Wei… - Computational and …, 2019 - Elsevier
Mycobacterium tuberculosis is one of the most dangerous pathogens in humans. It acts as
an etiological agent of tuberculosis (TB), infecting almost one-third of the world's population …

An overview of in silico vaccine design against different pathogens and cancer

K Kardani, A Bolhassani, A Namvar - Expert Review of Vaccines, 2020 - Taylor & Francis
Introduction Due to overcome the hardness of the vaccine design, computational
vaccinology is emerging widely. Prediction of T cell and B cell epitopes, antigen processing …