A comprehensive review on current advances in peptide drug development and design

ACL Lee, JL Harris, KK Khanna, JH Hong - International journal of …, 2019 - mdpi.com
Protein–protein interactions (PPIs) execute many fundamental cellular functions and have
served as prime drug targets over the last two decades. Interfering intracellular PPIs with …

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) …

AntiCP 2.0: an updated model for predicting anticancer peptides

P Agrawal, D Bhagat, M Mahalwal… - Briefings in …, 2021 - academic.oup.com
Increasing use of therapeutic peptides for treating cancer has received considerable
attention of the scientific community in the recent years. The present study describes the in …

In Silico Approach for Predicting Toxicity of Peptides and Proteins

S Gupta, P Kapoor, K Chaudhary, A Gautam, R Kumar… - PloS one, 2013 - journals.plos.org
Background Over the past few decades, scientific research has been focused on developing
peptide/protein-based therapies to treat various diseases. With the several advantages over …

Mechanism matters: a taxonomy of cell penetrating peptides

WB Kauffman, T Fuselier, J He, WC Wimley - Trends in biochemical …, 2015 - cell.com
The permeability barrier imposed by cellular membranes limits the access of exogenous
compounds to the interior of cells. Researchers and patients alike would benefit from …

CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides

P Agrawal, S Bhalla, SS Usmani, S Singh… - Nucleic acids …, 2016 - academic.oup.com
Abstract CPPsite 2.0 (http://crdd. osdd. net/raghava/cppsite/) is an updated version of
manually curated database (CPPsite) of cell-penetrating peptides (CPPs). The current …

Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential

G Nagpal, SS Usmani, SK Dhanda, H Kaur, S Singh… - Scientific reports, 2017 - nature.com
In the past, numerous methods have been developed to predict MHC class II binders or T-
helper epitopes for designing the epitope-based vaccines against pathogens. In contrast …

[HTML][HTML] MLACP: machine-learning-based prediction of anticancer peptides

B Manavalan, S Basith, TH Shin, S Choi, MO Kim… - Oncotarget, 2017 - ncbi.nlm.nih.gov
Cancer is the second leading cause of death globally, and use of therapeutic peptides to
target and kill cancer cells has received considerable attention in recent years. Identification …

Cell penetrating peptides: the potent multi-cargo intracellular carriers

K Kardani, A Milani, S H. Shabani… - Expert opinion on drug …, 2019 - Taylor & Francis
ABSTRACT Introduction: Cell penetrating peptides (CPPs) known as protein translocation
domains (PTD), membrane translocating sequences (MTS), or Trojan peptides (TP) are able …

MLCPP 2.0: an updated cell-penetrating peptides and their uptake efficiency predictor

B Manavalan, MC Patra - Journal of Molecular Biology, 2022 - Elsevier
Cell-penetrating peptides (CPPs) translocate into the cell as various biologically active
conjugates and possess numerous biomedical applications. Several machine learning …