國立高雄大學圖資館 |

Algorithms and methods in structural bioinformatics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Algorithms and methods in structural bioinformaticsedited by Nurit Haspel, Filip Jagodzinski, Kevin Molloy.
其他作者:	Haspel, Nurit.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	ix, 114 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Structural bioinformaticsMethodology.
電子資源:	https://doi.org/10.1007/978-3-031-05914-8
ISBN:	9783031059148$q(electronic bk.)

Algorithms and methods in structural bioinformatics
Algorithms and methods in structural bioinformatics[electronic resource] /edited by Nurit Haspel, Filip Jagodzinski, Kevin Molloy. - Cham :Springer International Publishing :2022. - ix, 114 p. :ill. (some col.), digital ;24 cm. - Computational biology,2662-2432. - Computational biology..

1. 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.

The 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.

ISBN: 9783031059148$q(electronic bk.)

Standard No.: 10.1007/978-3-031-05914-8doiSubjects--Topical Terms:

933400
Structural bioinformatics
--Methodology.

LC Class. No.: QH324.2

Dewey Class. No.: 570.285

Algorithms and methods in structural bioinformatics
LDR:02676nmm a2200337 a 4500 001 628913
003 DE-He213
005 20220901141318.0
007 cr nn 008maaau
008 230224s2022 sz s 0 eng d
020 $a 9783031059148$q(electronic bk.)
020 $a 9783031059131$q(paper)
024 7 $a 10.1007/978-3-031-05914-8 $2 doi
035 $a 978-3-031-05914-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QH324.2
072 7 $a UY $2 bicssc
072 7 $a PS $2 bicssc
072 7 $a SCI056000 $2 bisacsh
072 7 $a PSAX $2 thema
082 0 4 $a 570.285 $2 23
090 $a QH324.2 $b .A396 2022
245 0 0 $a Algorithms and methods in structural bioinformatics $h [electronic resource] / $c edited by Nurit Haspel, Filip Jagodzinski, Kevin Molloy.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a ix, 114 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Computational biology, $x 2662-2432
505 0 $a 1. 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.
520 $a The 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.
650 0 $a Structural bioinformatics $x Methodology. $3 933400
650 1 4 $a Bioinformatics. $3 194415
650 2 4 $a Health Informatics. $3 274212
700 1 $a Haspel, Nurit. $3 933397
700 1 $a Jagodzinski, Filip. $3 933398
700 1 $a Molloy, Kevin. $3 933399
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Computational biology. $3 897606
856 4 0 $u https://doi.org/10.1007/978-3-031-05914-8
950 $a Computer Science (SpringerNature-11645)