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Protein interaction networks

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Donev, Rossen
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge : Academic Press, 2022.
Colección:Advances in protein chemistry and structural biology ; v. 131.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Protein interaction networks  |h [electronic resource] /  |c edited by Rossen Donev. 
260 |a Cambridge :  |b Academic Press,  |c 2022. 
300 |a 1 online resource. 
490 1 |a Advances in protein chemistry and structural biology ;  |v v. 131 
588 0 |a Print version record. 
505 0 |a Intro -- Protein Interaction Networks -- Copyright -- Contents -- Contributors -- Chapter One: On the current failure-but bright future-of topology-driven biological network alignment -- 1. Introduction -- 1.1. Motivation -- 1.2. The sequence-topology ``trade-off�� -- 1.3. Possible reasons for the failure -- 1.4. Contribution -- 2. Preliminaries -- 2.1. Pairwise global network alignment (PGNA) -- 2.2. Measuring topological similarity -- 2.3. SANA: The simulated annealing network aligner -- 3. Testing hypotheses R1 and R3 -- 3.1. Addressing R1 using information theory and edge density 
505 8 |a 3.2. Addressing R3: Inadequate optimization of chosen topological objective functions -- 3.2.1. SANA achieves near-optimal solutions when the optimal solution is known -- 3.2.2. SANA outscores other aligners even at optimizing their own objectives -- 3.2.3. Summary: SANA provides a near-optimal level playing field for objective function comparison -- 4. Addressing R2: Measuring functional relevance of topological objective functions -- 4.1. Functional relevance -- 4.2. Objective function saturation -- 4.3. Evaluating the functional relevance of topological measures 
505 8 |a 4.4. Recovery of common Gene Ontology terms -- 4.5. Topology-based recovery of thousands of orthologs between major BioGRID species -- 5. Discussion -- 5.1. Statistical significance -- 6. Methods -- 6.1. Information theory in the context of network alignment -- 6.2. Exactly computing the logarithm of large integers -- 6.3. Comparing SANA�s alignments to those of competing aligners -- 6.4. Computing the p-value of recovered orthologs -- 6.5. Computing the p-value of shared GO terms in an alignment -- 6.6. On the importance of choosing the right measure of topological similarity 
505 8 |a 7. Data availability -- Acknowledgments -- Author contributions -- References -- Chapter Two: From single-omics to interactomics: How can ligand-induced perturbations modulate single-cell phenotypes? -- 1. Introduction -- 1.1. Fundamentals of the drug discovery process -- 1.2. Overwhelming data quantity and complexity in biology -- 2. Single-cell omics: From unimodal to multimodal analysis -- 2.1. Is multimodal single-cell analysis the way to go? -- 2.2. Single-cell data integration challenges -- 3. Bridging structure and cell data as drivers to understand ligand-induced perturbations 
505 8 |a 3.1. Three-dimensional structure role in ligand-induced perturbations -- 3.2. Single-cell role in ligand-induced perturbations -- 3.3. How can we integrate multimodal biological data? Can structure lead to better network analysis while potentiating th ... -- 3.4. Datasets and prevision models for drug-induced perturbations -- 4. Conclusion -- Funding -- References -- Chapter Three: A review of bioinformatics tools and web servers in different microarray platforms used in cancer research -- 1. Microarray and bioinformatics -- 2. Application of microarray data 
650 0 |a Protein-protein interactions. 
650 6 |a Interactions prot�eine-prot�eine.  |0 (CaQQLa)201-0396409 
650 7 |a Protein-protein interactions  |2 fast  |0 (OCoLC)fst01079705 
700 1 |a Donev, Rossen. 
776 0 8 |i Print version:  |z 9780323992329 
776 0 8 |i Print version:  |z 0323992315  |z 9780323992312  |w (OCoLC)1288664226 
776 0 8 |i Print version:  |t PROTEIN INTERACTION NETWORKS.  |d [S.l.] : ELSEVIER ACADEMIC PRESS, 2022  |z 0323992315  |w (OCoLC)1288664226 
830 0 |a Advances in protein chemistry and structural biology ;  |v v. 131. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/bookseries/18761623/131  |z Texto completo