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1. |
Record Nr. |
UNINA9910563064503321 |
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Autore |
Van Schyndel Ines |
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Titolo |
Erscheinungen der lexikalisch-syntaktischen Paradigmatik von Phrasemen im Russischen / Ines Van Schyndel |
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Pubbl/distr/stampa |
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Frankfurt a.M, : PH02, 1993 |
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1993, c1994 |
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Edizione |
[1st, New ed.] |
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Descrizione fisica |
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1 online resource (201 p.) : , EPDF |
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Collana |
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Slavistische Beiträge ; 307 |
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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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Note generali |
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Peter Lang GmbH, Internationaler Verlag der Wissenschaften |
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Nota di contenuto |
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Einleitung - Konversivität, Kausativität, Genus-verbi- und Phasenbeziehungen als Erscheinungen der phraseologisehen lexikalisch-syntaktischen Paradigmatiк - Übergreifende Darstellungender lexikalisch-syntaktischen Paradigmatik - Das Modell der lexikalischen Funktionen - Konversive Beziehungen - Begriffsbestimmung - Analyse konversiver Phrasempaare vom Typ geben - nehmen/bekommen - Genus-verbi-Beziehungen - Genus verbi im Russischen - Genus-verbi-Formen bei Phrasemen - Kausative Beziehungen - Kausativität - Analyse kausativer/nichtkausativer Phrasempaare - Phasenbeziehungen - Phasenbeziehungen - Durativität und Inchoativität |
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Sommario/riassunto |
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Die Arbeit, die sich als Beitrag zur Erforschung und Beschreibung der russischen Phraseologie versteht, stellt die semantischen Beziehungen zwischen ausgewählten russischen Verbalphrasemen in den Mittelpunkt ihrer Untersuchungen. |
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2. |
Record Nr. |
UNINA9910585940503321 |
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Autore |
Ribaudo Giovanni |
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Titolo |
From a Molecule to a Drug: Chemical Features Enhancing Pharmacological Potential |
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Pubbl/distr/stampa |
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
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Descrizione fisica |
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1 online resource (234 p.) |
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Soggetti |
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Medicine and Nursing |
Pharmacology |
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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 book collects contributions published in the Special Issue "From a Molecule to a Drug: Chemical Features Enhancing Pharmacological Potential" and dealing with successful stories of drug improvement or design using classic protocols, quantum mechanical mechanistic investigation, or hybrid approaches such as QM/MM or QM/ML (machine learning). In the last two decades, computer-aided modeling has strongly supported scientists' intuition to design functional molecules. High-throughput screening protocols, mainly based on classical mechanics' atomistic potentials, are largely employed in biology and medicinal chemistry studies with the aim of simulating drug-likeness and bioactivity in terms of efficient binding to the target receptors. The advantages of this approach are quick outcomes, the possibility of repurposing commercially available drugs, consolidated protocols, and the availability of large databases. On the other hand, these studies do not intrinsically provide reactivity information, which requires quantum mechanical methodologies that are only applicable to significantly smaller and simplified systems at present. These latter studies focus on the drug itself, considering the chemical properties related to its structural features and motifs. Overall, such simulations provide necessary insights for a better understanding of the chemistry principles that rule the diseases at the molecular level, as well as |
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possible mechanisms for restoring the physiological equilibrium. |
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