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) …

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 …

ToxinPred2: an improved method for predicting toxicity of proteins

N Sharma, LD Naorem, S Jain… - Briefings in …, 2022 - academic.oup.com
Proteins/peptides have shown to be promising therapeutic agents for a variety of diseases.
However, toxicity is one of the obstacles in protein/peptide-based therapy. The current study …

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 …

Prediction of therapeutic peptides using machine learning: computational models, datasets, and feature encodings

M Attique, MS Farooq, A Khelifi, A Abid - Ieee Access, 2020 - ieeexplore.ieee.org
Peptides, short-chained amino acids, have shown great potentials toward the investigation
and evolution of novel medications for treatment or therapy. The wet-lab based discovery of …

iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets

Z Chen, X Liu, P Zhao, C Li, Y Wang, F Li… - Nucleic acids …, 2022 - academic.oup.com
The rapid accumulation of molecular data motivates development of innovative approaches
to computationally characterize sequences, structures and functions of biological and …

Deep-ABPpred: identifying antibacterial peptides in protein sequences using bidirectional LSTM with word2vec

R Sharma, S Shrivastava, S Kumar Singh… - Briefings in …, 2021 - academic.oup.com
The overuse of antibiotics has led to emergence of antimicrobial resistance, and as a result,
antibacterial peptides (ABPs) are receiving significant attention as an alternative …

AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning

Y Fang, F Xu, L Wei, Y Jiang, J Chen… - Briefings in …, 2023 - academic.oup.com
Recently, peptide-based drugs have gained unprecedented interest in discovering and
developing antifungal drugs due to their high efficacy, broad-spectrum activity, low toxicity …

Deep-AFPpred: identifying novel antifungal peptides using pretrained embeddings from seq2vec with 1DCNN-BiLSTM

R Sharma, S Shrivastava, S Kumar Singh… - Briefings in …, 2022 - academic.oup.com
Fungal infections or mycosis cause a wide range of diseases in humans and animals. The
incidences of community acquired; nosocomial fungal infections have increased …

AniAMPpred: artificial intelligence guided discovery of novel antimicrobial peptides in animal kingdom

R Sharma, S Shrivastava, S Kumar Singh… - Briefings in …, 2021 - academic.oup.com
With advancements in genomics, there has been substantial reduction in the cost and time
of genome sequencing and has resulted in lot of data in genome databases. Antimicrobial …