A comprehensive review on current advances in peptide drug development and design
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 …
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) …
on various factors. Data‐driven computational methods, especially machine learning (ML) …
AntiCP 2.0: an updated model for predicting anticancer peptides
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 …
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
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 …
peptide/protein-based therapies to treat various diseases. With the several advantages over …
Mechanism matters: a taxonomy of cell penetrating peptides
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 …
compounds to the interior of cells. Researchers and patients alike would benefit from …
CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides
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 …
manually curated database (CPPsite) of cell-penetrating peptides (CPPs). The current …
Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential
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 …
helper epitopes for designing the epitope-based vaccines against pathogens. In contrast …
[HTML][HTML] MLACP: machine-learning-based prediction of anticancer peptides
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 …
target and kill cancer cells has received considerable attention in recent years. Identification …
Cell penetrating peptides: the potent multi-cargo intracellular carriers
ABSTRACT Introduction: Cell penetrating peptides (CPPs) known as protein translocation
domains (PTD), membrane translocating sequences (MTS), or Trojan peptides (TP) are able …
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 …
conjugates and possess numerous biomedical applications. Several machine learning …