الصفحة 1
الصفحة 1
Natural Resistance Mechanisms of Plants to Viruses
Resistance phenomena such as the local lesion response, induced resistance, "green islands" and resistance in various crop plants are linked with new information on gene-silencing mechanisms, gene silencing suppressors, movement proteins and plasmodesmatal gating, downstream signalling components, and more.
Molecular Biology in Plant Pathogenesis and Disease Management : Microbial Plant Pathogens ; Vol.1
Studies on molecular biology of pathogens, infection process and disease resistance, have provided information essentially required to understand the vulnerable stages at which the pathogens can be tackled effectively and to adopt novel strategies to incorporate disease resistance genes from diverse sources and /or to induce resistance of cultivars with desirable agronomic attributes using biotic or abiotic agents. The nature of interaction between the gene products of the pathogen and plant appears to determine the outcome of the interaction resulting in either disease progression or suppression. Transgenic plants with engineered genes show promise for effective exploitation of this approach for practical application. Research efforts during the recent years to sequence the whole genomes of the pathogens and plants may lead to development of better ways of manipulating disease resistance mechanisms enabling the grower to achieve higher production levels and the consumer to enjoy safer food and agricultural products. Experimental protocols included in appropriate chapters will be useful for researchers and graduate students.
Entry Inhibitors in HIV Therapy
The introductory chapters of this book present an overview of entry inhibitors, review current knowledge of how Env mediates entry, and discuss the challenge of genetic diversity in this region of the viral genome. Subsequent chapters feature current information on individual classes of entry inhibitors that target each step of the virus entry pathway, from attachment to membrane fusion. There is an emphasis on the complex determinants of entry inhibitor susceptibility, resistance mechanisms, the need for clinical phenotyping, and how these issues create new challenges for antiretroviral therapy. Encouraging pre-clinical studies of entry inhibitors as microbicidesare also discussed. The final chapters highlight the current status of entry inhibitors in clinical studies, the major milestone achieved with FDA approval of enfuvirtide, and review drug development, past and present.
Critical issues in head and neck oncology : Key concepts from the eighth THNO meeting
Reviews the state-of-the-art knowledge with emphasis on multidisciplinary decision and management of head and neck cancer. The book provides significant detail on a wide range of topics including: the role of new targets for treatment, immunotherapy, resistance mechanisms, standardizing molecular profiling programs, and new methods to guide therapeutic approaches.
Mathematical Modelling of Biosystems
This volume is an interdisciplinary book, which introduces, in a very readable way, state of the art research in the fundamental topics of mathematical modelling of Biosystems. These topics include: the study of Biological Growth and its mechanisms, the coupling of pattern to form via theorems of Differential Geometry, the human immunodeficiency virus dynamics, the inverse folding problem and the possibility of analysing true protein backbone flexibility, the Biclustering techniques for the organization of microarray data, the analytical approach to the modelling of biomolecular structure via Steiner trees, the action of biocides on resistance mechanisms of mutated and phenotypic bacteria strains, a description of the fundamental processes for the distribution and abundances of species towards a unified theory of Ecology, and a special introduction to Protein Physics aiming to explain the all-or-none first order phase transitions from native to denatured states.
Artificial intelligence : The revolution of drug discovery
The successful application of AI is dependent on the availability of high-quality data, the addressing of ethical concerns, and the recognition of the limitations of AI-based approaches. Moreover artificial intelligence has been a game changer in the past decade. AI proved his worth by making the impossible possible in a short period of time. The health care industry has adopted artificial intelligence technology to deal with the ever-changing therapeutic and drug requirements of patients every day, as we encounter new viruses for which no antidote has been prepared, such as the Corona virus, diseases such as malaria, and the most important problem is the resistance to antibiotics by superbugs that are constantly developing new resistance mechanisms causing harm and confusion.
