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1. |
Record Nr. |
UNINA9910461619403321 |
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Autore |
Miteva Maria A |
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Titolo |
In silico lead discovery [[electronic resource] /] / by Maria A. Miteva |
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Pubbl/distr/stampa |
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[Saif Zone, Sharjah, United Arab Emirates], : Bentham Science Publishers Ltd., [2011] |
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ISBN |
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Descrizione fisica |
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1 online resource (201 p.) |
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Disciplina |
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Soggetti |
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Drug development |
Drug development - Computer simulation |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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01 Title.pdf; 02 Cover Page; 03 eBooks End User License Agreement-Website; 04 Content; 05 Foreword_Grigirov; 06 Preface_Miteva; 07 Contributors_Proposal_forEbook-MariaMiteva; 08 Chapter 1 Lagorce_et al_revised 2; 09 Chapter 2 Sperandio_et al_revised 2; 10 Chapter 3 Guyon_Tuffery_corrected 2; 11 Chapter 4 Todorov_corrected 2; 12 Chapter 5 Alexov_revised 2; 13 Chapter 6 Miteva_revised 2; 14 Chapter 7 Roche-revised 2; 15 Chapter 8 Pajeva_Wiese_revised 2; 16 Chapter 9 Moro_revised 2; 17 Chapter 10 Lee; 18 Index |
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Sommario/riassunto |
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Computer-aided drug design and in silico screening have contributed to the discovery of several compounds that have either reached the market or entered clinical trials. In silico Lead Discovery is a compilation of the efforts of several experts on bioinformatics and drug design in developing the latest advances of in silico approaches for lead discovery. It contains an overview of structure-based, ligand-based methods and current fragment-based methods as well as examples for successful applications of such methods in discovering new hit/lead molecules for important therapeutic targets. Treat |
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2. |
Record Nr. |
UNINA9910346842603321 |
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Titolo |
Diagnostic, Prognostic and Predictive Biological Markers in Bladder Cancer - Illumination of a Vision |
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Pubbl/distr/stampa |
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
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ISBN |
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Descrizione fisica |
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1 online resource (202 p.) |
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Disciplina |
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Soggetti |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This Special Issue has been introduced with the aim of offering the possibility to publish new research results from old and new pioneers in the field of bladder cancer basic research. While editing this Special Issue we learned that an enormous enthusiasm is necessary to go on in bladder cancer research. In our eyes, bladder cancer is on one hand a very heterogenous malignancy, which is what makes it so difficult to focus on only one bladder cancer marker in bladder cancer diagnostics and follow-up. On the other hand, it is very important to find prognostic and predictive factors for bladder cancer due to its high incidence and its enormous costs, as one of the most expensive malignancies in the world. Finding and developing new bladder cancer markers is still a very dynamic field. Because there are many of these markers, it is impossible to report all of them. This Special Issue attempts to highlight the role of bladder cancer markers in diagnosis, and the most important biomarkers that have been recently studied and reported. This Special Issue highlights some of the most important markers. Further determination of recurrence and progression markers will contribute to establishing better treatments for individual patients. Molecular staging of urological tumors will allow the selection of cases that will require systemic treatment. It is necessary and important to integrate basic and clinical research under the same objectives. |
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