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Predicting immunotherapy response through genomics

Current Opinion in Genetics & Development, 2021
Immune checkpoint inhibitors (ICI) aim to restore the immune system anti-tumor function by blocking two inhibitory axes: CTLA-4/CD28 and PD1/PDL1. ICI is established as a treatment option for multiple cancers, but their remarkable clinical impact is observed only in a fraction of patients.
Marina Candido Visontai, Cormedi   +2 more
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Genomic prediction

2020
Genomic prediction is transforming animal and plant breeding and its utility to predict human disease risk is being explored. The method aims to predict an individual’s future phenotype based on only a DNA test. This lecture will introduce genomic prediction, including the basic concepts, main statistical models, validation strategies, and method ...
Fazel Almasi, Daetwyler, Hans, Zibei Lin
openaire   +1 more source

Microbiome genomics for cancer prediction

Nature Cancer, 2020
Although cancer genomics is a powerful tool to understand cancer and develop diagnostic tools, the contribution of the microbiome in cancer diagnosis and clinical assessment is much less studied. Elinav, Greten and colleagues provide their respective views on how studying cancer metagenomes could facilitate identification, diagnosis and staging of ...
Adlung, Lorenz   +3 more
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Predictive Genomic Biomarkers

2010
Advances in the biological characterization of tumors has led to the design and development of anticancer agents targeting specific molecular alterations. The majority of these agents are designed to silence phosphorylation signals that are required for the development and maintenance of the cancer phenotype in specific tumor types.
Rakesh, Kumar, Rafael G, Amado
openaire   +2 more sources

SIFT missense predictions for genomes

Nature Protocols, 2015
The SIFT (sorting intolerant from tolerant) algorithm helps bridge the gap between mutations and phenotypic variations by predicting whether an amino acid substitution is deleterious. SIFT has been used in disease, mutation and genetic studies, and a protocol for its use has been previously published with Nature Protocols.
Robert Vaser   +4 more
openaire   +2 more sources

Fold Predictions for Bacterial Genomes

Journal of Structural Biology, 2001
Fold assignments for newly sequenced genomes belong to the most important and interesting applications of the booming field of protein structure prediction. We present a brief survey and a discussion of such assignments completed to date, using as an example several fold assignment projects for proteins from the Escherichia coli genome.
K, Pawlowski   +3 more
openaire   +2 more sources

Evaluation of Predictive Genomic Applications

2020
The last fifteen years have seen the emergence of Public Health Genomics (PHG), a multidisciplinary field related to the effective and responsible translation of genome-based knowledge and technologies to improve population health. While at the beginning the main concern of PHG was that genetic/genomic applications should be evaluated rigorously before
Villari P.   +3 more
openaire   +2 more sources

Predicting disease using genomics

Nature, 2004
Information from the human genome sequence will eventually alter many aspects of clinical practice. It will increase through our understanding of disease mechanisms, and guide the development of new drugs and therapeutic procedures. In the short term, however, knowledge of the genome will have a profound clinical impact on the diagnostic capability of ...
openaire   +2 more sources

Predicting structures for genome proteins

Current Opinion in Structural Biology, 1999
Assigning three-dimensional protein folds to genome sequences is essential to understanding protein function. Although experimental three-dimensional structures are currently available for only a very small fraction of these sequences, computational fold assignment is able to assign folds to 20-30% of the sequences in various genomes.
D, Fischer, D, Eisenberg
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Exon prediction in eucaryotic genomes

Biochimie, 1996
Two independent computer systems, NetPlantGene and AMELIE, dedicated to the identification of splice sites in plant and human genomes, respectively, are introduced here. Both methods were designed in relation to experimental work; they rely on automatically generated rules involving the nucleotide content of sequences regardless of the coding ...
Vignal, L.   +6 more
openaire   +3 more sources

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