Acute graft-versus-host disease (aGVHD) is a serious systemic complication of allogeneic hematopoietic stem cell transplantation (HSCT) causing considerable morbidity and mortality. Acute GVHD occurs when alloreactive donor-derived T cells recognize host-recipient antigens as foreign. These trigger a complex multiphase process that ultimately results in apoptotic injury in target organs. The early events leading to GVHD seem to occur very soon, presumably within hours from the graft infusion. Therefore, when the first signs of aGVHD clinically manifest, the disease has been ongoing for several days at the cellular level, and the inflammatory cytokine cascade is fully activated. So, it comes as no surprise that progress in treatment based on clinical diagnosis of aGVHD has been limited in the past 30 years. It is likely that a pre-emptive strategy using systemic high-dose corticosteroids as early as possible could improve the outcome of aGVHD. Due to the deleterious effects of such treatment particularly in terms of infection risk posed by systemic steroid administration in a population that is already immune-suppressed, it is critical to identify biomarker signatures for approaching this very complex task. Some research groups have begun addressing this issue through molecular and proteomic analyses, combining these approaches with computational intelligence techniques, with the specific aim of facilitating the identification of diagnostic biomarkers in aGVHD. In this review, we focus on the aGVHD scenario and on the more recent state-of-the-art. We also attempt to give an overview of the classical and novel techniques proposed as medical decision support system for the diagnosis of GVHD.

Inflammation is an essential response provided by the immune systems that ensures the survival during infection and tissue injury. Inflammatory responses are essential for the maintenance of normal tissue homeostasis. The molecular mechanism of inflammation is quite a complicated process which is initiated by the recognition of specific molecular patterns associated with either infection or tissue injury. The entire process of the inflammatory response is mediated by several key regulators involved in the selective expression of proinflammatory molecules. Prolonged inflammations are often associated with severe detrimental side effects on health. Alterations in inflammatory responses due to persistent inducers or genetic variations are on the rise over the last couple of decades, causing a variety of inflammatory diseases and pathophysiological conditions.

Alzheimer’s disease (AD) is the most common type of dementia that affects thinking, learning, memory and behavior of older people. Based on the previous studies, three pathogenic pathways are now commonly accepted as the culprits of this disease namely, amyloid-β pathway, tauopathology and cholinergic dysfunction. This review focuses on the current findings on the regulatory roles of G protein-coupled receptors (GPCRs) in the pathological progression of AD and discusses the potential of the GPCRs as novel therapeutic targets for AD.

Computational biology methods are now firmly entrenched in the drug discovery process. These methods focus on modeling and simulations of biological systems to complement and direct conventional experimental approaches. Two important branches of computational biology include protein homology modeling and the computational biophysics method of molecular dynamics. Protein modeling methods attempt to accurately predict three-dimensional (3D) structures of uncrystallized proteins for subsequent structure-based drug design applications. Molecular dynamics methods aim to elucidate the molecular motions of the static representations of crystallized protein structures. In this review we highlight recent novel methodologies in the field of homology modeling and molecular dynamics. Selected drug discovery applications using these methods conclude the review.

Placenta, a temporary organ first formed during the development of a new life is essential for the survival and growth of the fetus in eutherian mammals. It serves as an interface for the exchange of nutrients, gases and wastes between the maternal and fetal compartments. During the past decades, studies employing gene-engineered mouse mutants have revealed a wide range of signaling molecules governing the trophoblast development and function during placentation under various pathophysiological conditions. Here, we summarize the recent progress with particular respect to the involvement of developmental genes during placentation.

Heat shock proteins (Hsps) or molecular chaperones, are highly conserved protein families present in all studied organisms. Following cellular stress, the intracellular concentration of Hsps generally increases several folds. Hsps undergo ATP-driven conformational changes to stabilize unfolded proteins or unfold them for translocation across membranes or mark them for degradation. They are broadly classified in several families according to their molecular weights and functional properties. Extensive studies during the past few decades suggest that Hsps play a vital role in both normal cellular homeostasis and stress response. Hsps have been reported to interact with numerous substrates and are involved in many biological functions such as cellular communication, immune response, protein transport, apoptosis, cell cycle regulation, gametogenesis and aging. The present review attempts to provide a brief overview of various Hsps and summarizes their involvement in diverse biological activities.

Protein kinase C (PKC) is a family of serine/threonine protein kinases that plays a central role in transducing extracellular signals into a variety of intracellular responses ranging from cell proliferation to apoptosis. Nine PKC genes have been identified in the human genome, which encode 10 proteins. Each member of this protein kinase family displays distinct biochemical characteristics and is enriched in different cellular and subcellular locations. Activation of PKC has been implicated in the regulation of cell growth and differentiation. This review summarizes works of the past years in the field of PKC biochemistry that covers regulation and activation mechanism of different PKC isoforms.

Soybean (BoldItalic), an important domesticated species originated in China, constitutes a major source of edible oils and high-quality plant proteins worldwide. In spite of its complex genome as a consequence of an ancient tetraploidilization, platforms for map-based genomics, sequence-based genomics, comparative genomics and functional genomics have been well developed in the last decade, thus rich repertoires of genomic tools and resources are available, which have been influencing the soybean genetic improvement. Here we mainly review the progresses of soybean (including its wild relative BoldItalic) genomics and its impetus for soybean breeding, and raise the major biological questions needing to be addressed. Genetic maps, physical maps, QTL and EST mapping have been so well achieved that the marker assisted selection and positional cloning in soybean is feasible and even routine. Whole genome sequencing and transcriptomic analyses provide a large collection of molecular markers and predicted genes, which are instrumental to comparative genomics and functional genomics. Comparative genomics has started to reveal the evolution of soybean genome and the molecular basis of soybean domestication process. Microarrays resources, mutagenesis and efficient transformation systems become essential components of soybean functional genomics. Furthermore, phenotypic functional genomics via both forward and reverse genetic approaches has inferred functions of many genes involved in plant and seed development, in response to abiotic stresses, functioning in plant-pathogenic microbe interactions, and controlling the oil and protein content of seed. These achievements have paved the way for generation of transgenic or genetically modified (GM) soybean crops.