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Computational immunology

Computational immunology is a field within immunology that applies computational methods to analyze immune-related data and model immune system processes. Because the immune system consists of highly interconnected cells, molecules, and signaling networks, many of its mechanisms are complex and difficult to study using experimental approaches alone.…

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Applications

AllergiesImmunogenicityImmunoglobulin EEpitopesEndoplasmic reticulum
6 related topics

History

ProbabilisticMeaslesStochasticMalaria
4 related topics

Immunological database

Databases
1 related topics

Introduction

Biological systemBiologyMedicineVaccinesTherapies
7 related topics

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Overview

Introduction

History

Immunological database

Applications

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Map overview Semantic statistics

Computational immunology

Nodes26
Edges25
Triples51
Avg. degree1.92
Density0.076923
Components1

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Computational immunology

Top relations

related to Vaccine Design · 10
Computational immunology → African, Brucella, Computational, Helicobacter, Immunoinformatics, In, Leishmania, Leptospira, SARS-CoV-2, These
related to Allergies · 9
Computational immunology → Allergies, B-cell, Computational, Consequently, IgE, Immunogenicity, T-cell, The, These
related to Introduction · 6
Computational immunology → At, For, However, Immunology, The, To
related to External links · 5
Computational immunology → Boston University Center, Computational ImmunologyYork Computational Immunology, Gajendra Pal Singh Raghava, LabImmunoinformatics Immunological Software, Web Services
related to history · 5
Computational immunology → During, Earlier, Later, Pyotr Dimitrievich En'ko, These
related to Tools · 3
Computational immunology → In, Representative, These
related to Immunological database · 2
Computational immunology → The, These
is a · 1
Computational immunology → field within immunology that applies computational methods to analyze immune-related data and model immune system processes

Important terminology Word statistics

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Important terminology

computational immunology immune system immunological data vaccine approaches databases processes tools modeling design epitopes development diseases analysis models immunoinformatics responses

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Computational immunologyis afield within immunology that applies computational methods to analyze immune-related data and model immune system processes0.90text
malariainstance ofthe field advanced through early applications of mathematical modeling to infectious diseases0.80text
with a focus on understanding patterns of disease transmission.During the twentieth centuryinstance ofthe field advanced through early applications of mathematical modeling to infectious diseases0.80text
the use of mathematicsinstance ofthe field advanced through early applications of mathematical modeling to infectious diseases0.80text
statisticsinstance ofthe field advanced through early applications of mathematical modeling to infectious diseases0.80text
and computational methods in studies of the immune systeminstance ofthe field advanced through early applications of mathematical modeling to infectious diseases0.80text
disease processes increased progressivelyinstance ofthe field advanced through early applications of mathematical modeling to infectious diseases0.80text
TAPinstance ofwhich are then transported into the endoplasmic reticulum by proteins0.80text
proteasomal cleavageinstance ofThis multistep biological pathway can be represented using computational models that incorporate key processes0.80text
peptide transport efficiencyinstance ofThis multistep biological pathway can be represented using computational models that incorporate key processes0.80text
and MHC binding affinityinstance ofThis multistep biological pathway can be represented using computational models that incorporate key processes0.80text
Computational immunologyrelated to AllergiesAllergies0.60section

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