|
|
|
|
LEADER |
00000cam a2200000Ia 4500 |
001 |
SCIDIR_on1337028038 |
003 |
OCoLC |
005 |
20231120010656.0 |
006 |
m o d |
007 |
cr un|---aucuu |
008 |
220725s2022 mau o 000 0 eng d |
040 |
|
|
|a YDX
|b eng
|c YDX
|d OPELS
|d EBLCP
|d OCLCF
|d OCLCQ
|d N$T
|d OCLCO
|
020 |
|
|
|a 9780323992329
|q (electronic bk.)
|
020 |
|
|
|a 0323992323
|q (electronic bk.)
|
020 |
|
|
|z 9780323992312
|
020 |
|
|
|z 0323992315
|
035 |
|
|
|a (OCoLC)1337028038
|
050 |
|
4 |
|a QP551.5
|
082 |
0 |
4 |
|a 572.64
|2 23
|
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
|