Chemical Biology & Drug Design 

About: Chemical Biology & Drug Design is an academic journal published by Wiley-Blackwell. The journal publishes majorly in the area(s): Medicine & Docking (molecular). It has an ISSN identifier of 1747-0277. Over the lifetime, 2879 publications have been published receiving 56704 citations. The journal is also known as: Chemical biology and drug design.

The Future of Peptide‐based Drugs

Abstract: The suite of currently used drugs can be divided into two categories - traditional 'small molecule' drugs with typical molecular weights of 5000 Da that are not orally bioavailable and need to be delivered via injection. Due to their small size, conventional small molecule drugs may suffer from reduced target selectivity that often ultimately manifests in human side-effects, whereas protein therapeutics tend to be exquisitely specific for their targets due to many more interactions with them, but this comes at a cost of low bioavailability, poor membrane permeability, and metabolic instability. The time has now come to reinvestigate new drug leads that fit between these two molecular weight extremes, with the goal of combining advantages of small molecules (cost, conformational restriction, membrane permeability, metabolic stability, oral bioavailability) with those of proteins (natural components, target specificity, high potency). This article uses selected examples of peptides to highlight the importance of peptide drugs, some potential new opportunities for their exploitation, and some difficult challenges ahead in this field.

Inhibition of amyloid fibril formation by polyphenols: structural similarity and aromatic interactions as a common inhibition mechanism.

Abstract: The formation of well-ordered fibrillar protein deposits is common to a large group of amyloid-associated disorders. This group consists of several major human diseases such as Alzheimer's disease, Parkinson's disease, prion diseases, and type II diabetes. Currently, there is no approved therapeutic agent directed towards the formation of fibrillar assemblies, which have been recently shown to have a key role in the cytotoxic nature of amyloidogenic proteins. One important approach in the development of therapeutic agents is the use of small molecules that specifically and efficiently inhibit the aggregation process. Several small polyphenol molecules have been demonstrated to remarkably inhibit the formation of fibrillar assemblies in vitro and their associated cytotoxicity. Yet, the inhibition mechanism was mostly attributed to the antioxidative properties of these polyphenol compounds. Based on several observations demonstrating that polyphenols are capable of inhibiting amyloid fibril formation in vitro, regardless of oxidative conditions, and in view of their structural similarities we suggest an additional mechanism of action. This mechanism is assuming structural constraints and specific aromatic interactions, which direct polyphenol inhibitors to the amyloidogenic core. This proposed mechanism is highly relevant for future de novo inhibitors' design as therapeutic agents for the treatment of amyloid-associated diseases.

The Structure of Glycosaminoglycans and their Interactions with Proteins

Abstract: Glycosaminoglycans (GAGs) are important complex carbohydrates that participate in many biological processes through the regulation of their various protein partners. Biochemical, structural biology and molecular modelling approaches have assisted in understanding the molecular basis of such interactions, creating an opportunity to capitalize on the large structural diversity of GAGs in the discovery of new drugs. The complexity of GAG–protein interactions is in part due to the conformational flexibility and underlying sulphation patterns of GAGs, the role of metal ions and the effect of pH on the affinity of binding. Current understanding of the structure of GAGs and their interactions with proteins is here reviewed: the basic structures and functions of GAGs and their proteoglycans, their clinical significance, the three-dimensional features of GAGs, their interactions with proteins and the molecular modelling of heparin binding sites and GAG–protein interactions. This review focuses on some key aspects of GAG structure–function relationships using classical examples that illustrate the specificity of GAG–protein interactions, such as growth factors, anti-thrombin, cytokines and cell adhesion molecules. New approaches to the development of GAG mimetics as possible new glycotherapeutics are also briefly covered.

New method for fast and accurate binding-site identification and analysis.

Abstract: Structure-based drug design seeks to exploit the structure of protein-ligand or protein-protein binding sites, but the site is not always known at the outset. Even when the site is known, the researcher may wish to identify alternative prospective binding sites that may result in different biological effects or new class of compounds. It is also vital in lead optimization to clearly understand the degree to which known binders or docking hits satisfy or violate complementarity to the receptor. SiteMap is a new technique for identifying potential binding sites and for predicting their druggability in lead-discovery applications and for characterizing binding sites and critically assessing prospective ligands in lead-optimization applications. In large-scale validation tests, SiteMap correctly identifies the known binding site in > 96% of the cases, with best results (> 98%) coming for sites that bind ligands tightly. It also accurately distinguishes between sites that bind ligands and sites that don't. In binding-site analysis, SiteMap provides a wealth of quantitative and graphical information that can help guide efforts to modify ligand structure to enhance potency or improve physical properties. These attributes allow SiteMap to nicely complement techniques such as docking and computational lead optimization in structure-base drug design.

Use of an Induced Fit Receptor Structure in Virtual Screening

Abstract: Structured-based drug design has traditionally relied on a single receptor structure as a target for docking and screening studies. However, it has become increasingly clear that in many cases where protein flexibility is an issue, it is critical to accurately model ligand-induced receptor movement in order to obtain high enrichment factors. We present a novel protein-ligand docking method that accounts for both ligand and receptor flexibility and accurately predicts the conformation of protein-ligand binding complexes. This method can generate viable receptor ensembles that can be used in virtual database screens.