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Related Concept Videos

Caspases01:24

Caspases

Caspase, a family of cysteine proteases, serve as effectors in apoptosis. The ced3 gene in C.elegans was first identified to be involved in apoptosis. This gene encodes the ced-3 caspase that is similar to the interleukin-1-beta converting enzyme or ICE in mammals. In addition to apoptosis, caspases also function in the inflammatory response. Inflammatory caspases are essential in activating pro-inflammatory cytokines that recruit immune cells and block the replication of pathogens inside cells.
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

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CanPredict: a computational tool for predicting cancer-associated missense mutations.

Joshua S Kaminker1, Yan Zhang, Colin Watanabe

  • 1Department of Bioinformatics, Genentech, Inc., South San Francisco, CA 94080, USA.

Nucleic Acids Research
|June 1, 2007
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Summary

CanPredict is a new web application that helps researchers distinguish cancer-driving mutations from harmless variations. It uses computational methods to predict if genetic changes are cancer-associated, aiding cancer genome studies.

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Exploring Caspase Mutations and Post-Translational Modification by Molecular Modeling Approaches

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Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Cancer genome projects generate vast datasets of genetic variations.
  • Distinguishing driver mutations from passenger mutations is crucial for understanding cancer.
  • Computational tools are needed to interpret the functional impact of genetic changes.

Purpose of the Study:

  • To present CanPredict, a web application for predicting cancer-associated mutations.
  • To provide biologists with a tool to identify functionally relevant genetic variations.
  • To aid in prioritizing mutations for further investigation in cancer research.

Main Methods:

  • Utilizes Sorting Intolerant From Tolerant (SIFT) and LogR.E-value metrics to assess mutation impact.
  • Incorporates Gene Ontology Similarity Score (GOSS) to evaluate gene similarity to known cancer genes.
  • Employs a random forest classifier to integrate scores and predict cancer association.

Main Results:

  • CanPredict provides a computational method for assessing the likelihood of a mutation being cancer-associated.
  • The application integrates multiple established algorithms for robust prediction.
  • It enables users to determine the relevance of specific genetic changes.

Conclusions:

  • CanPredict addresses a critical need in cancer biology by facilitating mutation interpretation.
  • The tool empowers a broad audience of biologists to identify significant cancer mutations.
  • It streamlines the process of prioritizing mutations for downstream functional studies.