Current Protein and Peptide Science - Volume 9, Issue 5, 2008

We discuss the dynamics of tryptophan rotamers in the context of the non-exponential fluorescence decay in proteins. The central question is: how does the ground-state conformational heterogeneity influence the time evolution of tryptophan fluorescence? This problem is examined here from the theoretical perspective. Three methods at different levels of theory, and with different scopes and computational requirements are reviewed. The Dead-end elimination method is limited to side-chain dynamics and provides an efficient way to detect the stable tryptophan rotamers in a protein. Its application to the study of heterogeneous emission characteristics is illustrated. Molecular dynamics is aimed at the full phase space of the macromolecule in solution, but must rely on classical force fields and laws of evolution. We examine to what extent the molecular mechanics paradigm yields sufficiently accurate thermodynamic results, and what are the possible kinetic implications. Finally Quantum Chemistry is the only theoretical method that allows a direct assessment of the excited states. It is necessarily restricted to small molecular systems, and thus must be used in a hybrid combination with classical methods and electrostatic models. So far understanding of the emitting state has greatly progressed as a result of these calculations, but the actual treatment of the photophysical decay processes at the quantum level has not yet really started.

Combinatorial preparation and HTS of arrays of compounds have increased the speed of drug discovery. A strong impulse in this field has come by the introduction of the solid phase synthesis method that, through automation and miniaturization, has paved the way to the preparation of large collections of compounds in compact and trackable formats. Due to the well established synthetic procedures, peptides have been largely used to develop the basic concepts of combinatorial chemistry and peptide libraries are still successfully employed in screening programs. However, peptides generally do not fulfil the requirements of low conformational flexibility, stability and bioavailability needed for good drug candidates and peptide leads with high potency and selectivity are often made “druggable” by conversion to more stable structures with improved pharmacological profiles. Such an approach makes the screening of peptide libraries still a valuable tool for drug discovery. We propose here a panoramic review of the most common methods for the preparation and screening of peptide libraries and the most interesting findings of the last decade. We also report on a new approach we follow in our laboratory that is based on the use of “simplified” libraries composed by a minimum number of nonredundant amino acids for the assembly of short peptides. The choice of amino acids is dictated by diversity in lipophilicity, MW, charge and polarity. Newly identified active sequences are then modified by preparing new variants containing analogous amino acids, so that the chemical space occupied by the excluded residues can be explored. This approach offers the advantage of simplifying the synthesis and deconvolution of libraries and provides new active compounds with a molecular size similar to that of small molecules, to which they can be easily converted.

The concept of ‘magic bullet’, initially ascribed to immunoglobulins by Paul Ehrlich at the beginning of the 20th century and strengthened by the hybridoma technology of Kohler and Milstein in the mid 70s, can nowadays be attributed to different target-specific molecules, such as peptides. This attribution is increasingly valid in light of the explosion of new technologies for peptide library construction and screening, not to mention improvements in peptide synthesis and conjugation and in-vivo peptide stability, which make peptide molecules specific bullets for targeting pathological markers and pathogens. Today, hundreds of peptides are being developed and dozens are in clinical trials for a variety of diseases, demonstrating that the general reluctance towards peptide drugs that existed a decade ago has now been overcome. In spite of this progress, the development of new peptide drugs has largely been limited by their short half-life. Branched peptides such as Multiple Antigen Peptides (MAPs) were invented in the 80s by Tam [Tam, J.P., (1998) Proc. Natl. Acad. Sci. USA, 85, 5409] and have been extensively tested to reproduce single epitopes to stimulate the immune system for new vaccine discovery. In our lab we discovered that MAP molecules acquire strong resistance to proteases and peptidases. This resistance renders MAPs very stable and thus suitable for drug development. Here we report our experience with several MAP molecules in different biotechnological applications ranging from antimicrobial and anti toxin peptides to peptides for tumor targeting.

Mammalian AMP-activated protein kinase (AMPK) is a serine/threonine protein kinase that acts as a sensor of cellular energy status. It is activated by a large variety of cellular stresses that increase cellular AMP and decrease ATP levels and also by physiological stimuli, such as muscle contraction, or by hormones such as leptin and adiponectin. AMPK modulates multiple metabolic pathways. As a result, it has become a target for the development of new drugs for the treatment of type II diabetes, obesity or even cancer. In fact, it has been recently reported that drugs used in the treatment of diabetes, such as metformin and thiazolidinediones (TZDs), exert their beneficial effects through the activation of AMPK. AMPK is a heterotrimeric complex composed of a catalytic subunit (AMPK-α) and two regulatory subunits (AMPK-β and AMPK-γ). Functional orthologues of this kinase complex are found throughout eukaryotic kingdom, from yeast to humans, indicating that the function of this complex is evolutionarily conserved. This review summarizes the recent studies on the structure and regulation of the AMPK heterotrimeric complex.

The field of bioinformatics has become a major part of the drug discovery pipeline playing a key role in improvement and acceleration of this time and money consuming process. Here we review the application of the informational spectrum method (ISM), a virtual spectroscopy method for structure/function analysis of proteins, in identification of functional protein domains representing candidate therapeutic targets for drugs against human immunodeficiency virus (HIV)-1, anthrax, highly pathogenic influenza virus H5N1 and cardiovascular diseases.

α-Synuclein is an abundant presynaptic brain protein, misfolding, aggregation and fibrillation of which are implicated as critical factors in several neurodegenerative diseases. The list of the well-known synucleinopathies includes such devastating disorders as Parkinson's disease, Lewy body variant of Alzheimer's disease, diffuse Lewy body disease, dementia with Lewy bodies, multiple system atrophy, and neurodegeneration with brain iron accumulation type I. The precise functions of α-synuclein remain elusive, but there are evidence indicating its involvement in regulation vesicular release and/or turnover and synaptic function in the central nervous system. It might play a role in neuronal plasticity responses, bind fatty acids, regulate certain enzymes, transporters, and neurotransmitter vesicles, be involved in neuronal survival and even can act as a molecular chaperone. Structurally, α-synuclein is an illustrative member of the rapidly growing family of natively unfolded (or intrinsically disordered) proteins and considerable knowledge has been accumulated about its structural properties and conformational behavior. The molecular mechanisms underlying misfolding, aggregation and fibrillation of α-synuclein and the role of various environmental and genetic factors in stimulation and inhibition of these processes are relatively well understood. Here, the main structural features of α-synuclein, its functions, and involvement in various human diseases are summarized providing a foundation for better understanding of the biochemistry, biophysics and neuropathology of α-synuclein aggregation.