FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1966574758> ?p ?o ?g. }

• W1966574758 endingPage "e1000128" @default.
• W1966574758 startingPage "e1000128" @default.
• W1966574758 abstract "The immune system acts across multiple scales involving complex interactions and feedback, from somatic modifications of DNA to the systemic inflammatory reaction. Computational modeling provides a framework to integrate observational data collected from multiple modes of experimentation and insight into the immune response in health and disease. This Message attempts to illustrate how different computational methods have been integrated with experimental observations to study an immunological question from multiple perspectives by focusing on a very particular, though fundamental, component of adaptive immunity: B cells and affinity maturation (Figure 1). B cells bind foreign antigens through their Immunoglobulin (Ig) receptor. Affinity maturation is the process by which B cell receptors that initially bind antigen with low affinity are modified through cycles of somatic mutation and affinity-dependent selection to produce high-affinity memory and plasma cells. How this process can reliably generate orders of magnitude increases in affinity over a period of weeks is one of the many questions where computational modeling has made important contributions (for example, the cyclic re-entry model [1]). Yet, even the seemingly straightforward matter of detecting antigen-driven selection remains controversial, and such fundamental questions as whether increased proliferation or decreased death drives the preferential expansion of higher-affinity B cell mutants remain unanswered. A good biological introduction to the immune system is available on the NIH website [2], while more detailed information can be found in any number of textbooks [3]. An animation by Julian Kirk-Elleker provides a visual introduction to the affinity maturation process (http://web.mac.com/patrickwlee/Antibody-affinity_maturation/Movie.html). The kinds of computational techniques described here have been widely applied in other areas of immunology, including the innate response [4],[5], viral dynamics [6], and immune memory [7]. A classic introduction to computational immunology geared to the more mathematically inclined was written by Perelson and Weisbuch [8]. The rapidly expanding area of immunoinformatics was covered in a recent issue of PLoS Computational Biology [9], and several other applications were explored in a 2007 volume of Immunological Reviews (216) devoted to quantitative modeling of immune responses.Figure 1A wide range of experimental techniques are used in combination with computational modeling to probe the process of affinity maturation at multiple scales (from DNA to tissue)." @default.
• W1966574758 created "2016-06-24" @default.
• W1966574758 creator A5066562919 @default.
• W1966574758 date "2008-08-29" @default.
• W1966574758 modified "2023-09-28" @default.
• W1966574758 title "Getting Started in Computational Immunology" @default.
• W1966574758 cites W1971201122 @default.
• W1966574758 cites W1976759658 @default.
• W1966574758 cites W1978648487 @default.
• W1966574758 cites W1987039508 @default.
• W1966574758 cites W1999985136 @default.
• W1966574758 cites W2005566446 @default.
• W1966574758 cites W2008512164 @default.
• W1966574758 cites W2010843874 @default.
• W1966574758 cites W2017896543 @default.
• W1966574758 cites W2020905367 @default.
• W1966574758 cites W2032251250 @default.
• W1966574758 cites W2056538898 @default.
• W1966574758 cites W2056583190 @default.
• W1966574758 cites W2057239104 @default.
• W1966574758 cites W2058311887 @default.
• W1966574758 cites W2064059889 @default.
• W1966574758 cites W2064164319 @default.
• W1966574758 cites W2078387120 @default.
• W1966574758 cites W2089293301 @default.
• W1966574758 cites W2095627668 @default.
• W1966574758 cites W2097591929 @default.
• W1966574758 cites W2104205011 @default.
• W1966574758 cites W2111098506 @default.
• W1966574758 cites W2122800774 @default.
• W1966574758 cites W2127597278 @default.
• W1966574758 cites W2127605828 @default.
• W1966574758 cites W2137206510 @default.
• W1966574758 cites W2138067488 @default.
• W1966574758 cites W2140385774 @default.
• W1966574758 cites W2143213125 @default.
• W1966574758 cites W2145221987 @default.
• W1966574758 cites W2163396356 @default.
• W1966574758 cites W2165143211 @default.
• W1966574758 cites W3123992600 @default.
• W1966574758 cites W93508866 @default.
• W1966574758 doi "https://doi.org/10.1371/journal.pcbi.1000128" @default.
• W1966574758 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/2518523" @default.
• W1966574758 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18769677" @default.
• W1966574758 hasPublicationYear "2008" @default.
• W1966574758 type Work @default.
• W1966574758 sameAs 1966574758 @default.
• W1966574758 citedByCount "9" @default.
• W1966574758 countsByYear W19665747582013 @default.
• W1966574758 countsByYear W19665747582017 @default.
• W1966574758 crossrefType "journal-article" @default.
• W1966574758 hasAuthorship W1966574758A5066562919 @default.
• W1966574758 hasBestOaLocation W19665747581 @default.
• W1966574758 hasConcept C2522767166 @default.
• W1966574758 hasConcept C41008148 @default.
• W1966574758 hasConcept C70721500 @default.
• W1966574758 hasConcept C86803240 @default.
• W1966574758 hasConceptScore W1966574758C2522767166 @default.
• W1966574758 hasConceptScore W1966574758C41008148 @default.
• W1966574758 hasConceptScore W1966574758C70721500 @default.
• W1966574758 hasConceptScore W1966574758C86803240 @default.
• W1966574758 hasIssue "8" @default.
• W1966574758 hasLocation W19665747581 @default.
• W1966574758 hasLocation W19665747582 @default.
• W1966574758 hasLocation W19665747583 @default.
• W1966574758 hasLocation W19665747584 @default.
• W1966574758 hasOpenAccess W1966574758 @default.
• W1966574758 hasPrimaryLocation W19665747581 @default.
• W1966574758 hasRelatedWork W1641042124 @default.
• W1966574758 hasRelatedWork W1990804418 @default.
• W1966574758 hasRelatedWork W1993764875 @default.
• W1966574758 hasRelatedWork W2013243191 @default.
• W1966574758 hasRelatedWork W2046158694 @default.
• W1966574758 hasRelatedWork W2082860237 @default.
• W1966574758 hasRelatedWork W2130076355 @default.
• W1966574758 hasRelatedWork W2151865869 @default.
• W1966574758 hasRelatedWork W2748952813 @default.
• W1966574758 hasRelatedWork W2899084033 @default.
• W1966574758 hasVolume "4" @default.
• W1966574758 isParatext "false" @default.
• W1966574758 isRetracted "false" @default.
• W1966574758 magId "1966574758" @default.
• W1966574758 workType "article" @default.