01081nas a2200277 i 450099100259407970753620231114121032.0011205m19679999 || | |spa 0014-1542b11681214-39ule_instPERLE003461ExLCDU (238.1):3CDU 331.88Estudios sindicales y cooperativosEstudios sindicales y cooperativos /Instituto de Estudios Sindicales, Sociales y Cooperativos. - 1967-1972Madrid,1967-1972Codice CNR: P 00075725LE002 1968-1972.Instituto de Estudios Sindicales, Sociales y Cooperativosauthorhttp://id.loc.gov/vocabulary/relators/aut735351Revista de estudios sindicales.b1168121421-09-0608-07-02991002594079707536LE002 SP 3301le002-E0.00-no 180000.i1190932808-07-02Estudios sindicales y cooperativos1452867UNISALENTOle00201-01-01sa -spaxx 0103667nam 22006735 450 991104909480332120251231120419.03-031-81728-110.1007/978-3-031-81728-1(CKB)44760970700041(MiAaPQ)EBC32469245(Au-PeEL)EBL32469245(DE-He213)978-3-031-81728-1(EXLCZ)994476097070004120251231d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierSpringer Handbook of Chem- and Bioinformatics /edited by Jerzy Leszczynski1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (2767 pages)Springer Handbooks,2522-87063-031-81727-3 1 Computational Biology and Biochemistry -- 2 Cheminformatics I: Ligand-Based Molecular Modeling -- 3 Cheminformatics II: Structure-Based Molecular Modeling and Drug Design -- 4 Bioinformatics -- 5 Machine Learning, Artificial intelligence, and Big Data.The Springer Handbook of Chem- and Bioinformatics provides an introduction as well as a detailed description of the application of various techniques used in chemo- and bioinformatics. It covers basic topics such as a discussion of computational techniques used in the predictions of structures, properties, and dynamics of small compounds, macromolecules, and their complexes. Diverse applications of Quantitative structure-activity relationships (QSAR) methods are also revealed. Various chapters offer specifics of current methodologies used by research labs in the pharmaceutical industry for drug design. Modern computational approaches taking advantage of searching big data, using artificial intelligence and machine learning are discussed, while the necessity of applying such advanced novel techniques for bio- and chemo-informatics is revealed. This handbook combines nicely together discussion and assessment of both closely related fields of modern informatics. It is a welcome addition to the university libraries, research institutes, as well as to basic textbook resources of individual researchers. The target audience includes students (both graduate and advanced undergraduate), university researchers, scientists working in private and governmental laboratories as well as a large group of developers from pharmaceutical and medical institutes and related industrial research centers.Springer Handbooks,2522-8706ChemistryData processingBioinformaticsCheminformaticsMoleculesModelsMachine learningComputational ChemistryComputational and Systems BiologyCheminformaticsMolecular ModellingMachine LearningChemistryData processing.Bioinformatics.Cheminformatics.MoleculesModels.Machine learning.Computational Chemistry.Computational and Systems Biology.Cheminformatics.Molecular Modelling.Machine Learning.542.85Leszczyński Jerzy0Natanson Wojciech678125MiAaPQMiAaPQMiAaPQBOOK9911049094803321Springer Handbook of Chem- and Bioinformatics4533258UNINA