Computational Proteomics

Computational Proteomics is a field of study that uses computer techniques to analyze the structure and activity of proteins. It is used in the life sciences and healthcare to gain insight into the function of proteins in different biological processes. Computational Proteomics helps to identify and characterize novel protein structures and activities, study interacting networks of proteins, uncover molecular pathways, and develop methods for predicting protein properties. This information can be applied to improve human health, develop new therapeutics, and create better treatments and diagnostics.

← Journal of Proteomics and Genomics Research

Related Articles

12 article(s) found

Editorial for Journal of Proteomics and Genomics Research

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Quantitative Proteomics Using 15N SILAC Mouse

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Editorial for Journal of Proteomics and Genomics Research: Second Issue

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Determination of the Proteomic Response to Lapatinib Treatment using a Comprehensive and Reproducible Ion-Current-Based Proteomics Strategy

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Discovery and Quantification in Mass Spectrometry-Based Proteomics

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Proteome and Proteomics: from Single Protein to Whole Body

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Modern Proteomics: Methods and Applications – Special Issue

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Computational EPAS1 rSNP Analysis, Transcriptional Factor Binding Sites and High Altitude Sickness or Adaptation

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Computational STAT4 rSNP Analysis, Transcriptional Factor Binding Sites and Disease

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Retinal and Cortical Contributions to Excessive V1 Neuron Firing Rate Variability in Schizophrenia: A Computational Modeling Analysis

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Quantitative Computational Prediction of the Consensus B-cell Epitopes of 2019-nCoV

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Computational Systemic Biology for Toxicity Studies: A Mini Review of Previously Published Articles

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