001449277 000__ 03527cam\a2200541\i\4500
001449277 001__ 1449277
001449277 003__ OCoLC
001449277 005__ 20230310004352.0
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001449277 007__ cr\cn\nnnunnun
001449277 008__ 220907s2022\\\\sz\a\\\\ob\\\\000\0\eng\d
001449277 019__ $$a1343718387
001449277 020__ $$a9783031059148$$q(electronic bk.)
001449277 020__ $$a303105914X$$q(electronic bk.)
001449277 020__ $$z9783031059131
001449277 020__ $$z3031059131
001449277 0247_ $$a10.1007/978-3-031-05914-8$$2doi
001449277 035__ $$aSP(OCoLC)1343899551
001449277 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCQ
001449277 049__ $$aISEA
001449277 050_4 $$aQH324.2
001449277 08204 $$a570.285$$223/eng/20220907
001449277 24500 $$aAlgorithms and methods in structural bioinformatics /$$cNurit Haspel, Filip Jagodzinski, Kevin Molloy, editors.
001449277 264_1 $$aCham :$$bSpringer,$$c[2022]
001449277 264_4 $$c©2022
001449277 300__ $$a1 online resource (ix, 114 pages) :$$billustrations (some color).
001449277 336__ $$atext$$btxt$$2rdacontent
001449277 337__ $$acomputer$$bc$$2rdamedia
001449277 338__ $$aonline resource$$bcr$$2rdacarrier
001449277 4901_ $$aComputational biology
001449277 504__ $$aIncludes bibliographical references.
001449277 5050_ $$a1. Protein-Ligand Binding with Applications in Molecular Docking -- 2. Explaining Small Molecule Binding Specificity with Volumetric Representations of Protein Binding Sites -- 3. Machine Learning-based Approaches for Protein Conformational Exploration -- 4. Low Rank Approximation Methods for identifying Impactful Pairwise Protein Mutations -- 5. Detection and analysis of amino acid insertions and deletions -- 6. DeepTracerWeb Service for Fast and Accurate De Novo Protein Complex Structure Prediction from Cryo-EM.
001449277 506__ $$aAccess limited to authorized users.
001449277 520__ $$aThe three-dimensional structure and function of molecules present many challenges and opportunities for developing an understanding of biological systems. With the increasing availability of molecular structures and the advancing accuracy of structure predictions and molecular simulations, the space for algorithmic advancement on many analytical and predictive problems is both broad and deep. To support this field, a rich set of methods and algorithms are available, addressing a variety of important problems such as protein-protein interactions, the effect of mutations on protein structure and function, and protein structure determination. Despite recent advancements in the field, in particular in protein folding with the development of AlphaFold, many problems still remain unsolved. In this book we focus on a number of topics in Structural Bioinformatics: Cryo-EM structural detection, protein conformational exploration, elucidation of molecular binding surface using geometry, the effect of mutations, insertions and deletions on protein structural stability, and protein-ligand binding.
001449277 588__ $$aDescription based on print version record.
001449277 650_0 $$aStructural bioinformatics$$xMethodology.
001449277 655_0 $$aElectronic books.
001449277 7001_ $$aHaspel, Nurit,$$eeditor.
001449277 7001_ $$aJagodzinski, Filip,$$eeditor.
001449277 7001_ $$aMolloy, Kevin,$$eeditor.
001449277 77608 $$iPrint version:$$tAlgorithms and methods in structural bioinformatics.$$dCham : Springer, 2022$$z9783031059131$$w(OCoLC)1328012605
001449277 830_0 $$aComputational biology.
001449277 852__ $$bebk
001449277 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-05914-8$$zOnline Access$$91397441.1
001449277 909CO $$ooai:library.usi.edu:1449277$$pGLOBAL_SET
001449277 980__ $$aBIB
001449277 980__ $$aEBOOK
001449277 982__ $$aEbook
001449277 983__ $$aOnline
001449277 994__ $$a92$$bISE