Results 51 to 60 of about 1,973,231 (200)

FiTMuSiC: leveraging structural and (co)evolutionary data for protein fitness prediction

open access: yesHuman Genomics
Systematically predicting the effects of mutations on protein fitness is essential for the understanding of genetic diseases. Indeed, predictions complement experimental efforts in analyzing how variants lead to dysfunctional proteins that in turn can ...
Matsvei Tsishyn   +5 more
doaj   +1 more source

University-level practical activities in bioinformatics benefit voluntary groups of pupils in the last 2 years of school [PDF]

open access: yes, 2015
This work was supported in part by the Science and Technology Facilities Council under grant ST/M000435/1 to Daniel Barker.Background Bioinformatics—the use of computers in biology—is of major and increasing importance to biological sciences and medicine.
Rosanna G. Alderson   +21 more
core   +1 more source

Linking somatic mutations in cancer to the electronic properties of DNA

open access: yesBMC Genomics
Oxidative stress, generated by both endogenous and exogenous agents, can cause DNA lesions that, if not repaired, accumulate as somatic mutations and can contribute to cancer initiation.
Benoît de Witte   +5 more
doaj   +1 more source

Joint learning improves protein abundance prediction in cancers

open access: yesBMC Biology, 2019
Background The classic central dogma in biology is the information flow from DNA to mRNA to protein, yet complicated regulatory mechanisms underlying protein translation often lead to weak correlations between mRNA and protein abundances.
Hongyang Li   +3 more
doaj   +1 more source

Dynamics of water-mediated interaction effects on the stability and transmission of Omicron

open access: yesScientific Reports, 2023
SARS-Cov-2 Omicron variant and its highly transmissible sublineages amidst news of emerging hybrid variants strengthen the evidence of its ability to rapidly spread and evolve giving rise to unprecedented future waves.
Naila Zaman   +5 more
doaj   +1 more source

Natural computing methods in bioinformatics: A survey [PDF]

open access: yesInformation Fusion, 2009
Often data analysis problems in Bioinformatics concern the fusion of multisensor outputs or the fusion of multisource information, where one must integrate different kinds of biological data. Natural computing provides several possibilities in Bioinformatics, especially by presenting interesting nature-inspired methodologies for handling such complex ...
Francesco Masulli, Sushmita Mitra
openaire   +2 more sources

Translational Bioinformatics and Computational Systems Medicine [PDF]

open access: yesComputational and Mathematical Methods in Medicine, 2013
This special issue is dedicated to Translational bioinformatics and Computational Systems Medicine. Translational biomedical informatics is a rapidly emerging discipline to integrate data from medical research, biotechnologies, and electronic medical records, and computational systems medicine is to apply computational and systems biology approaches to
Bairong Shen   +4 more
openaire   +3 more sources

Identification of Hub Genes and Key Pathways Associated with Anti-VEGF Resistant Glioblastoma Using Gene Expression Data Analysis

open access: yesBiomolecules, 2021
Anti-VEGF therapy is considered to be a useful therapeutic approach in many tumors, but the low efficacy and drug resistance limit its therapeutic potential and promote tumor growth through alternative mechanisms.
Kesavan R. Arya   +5 more
doaj   +1 more source

Towards a lightweight generic computational grid framework for biological research [PDF]

open access: yes, 2008
Background: An increasing number of scientific research projects require access to large-scale computational resources. This is particularly true in the biological field, whether to facilitate the analysis of large high-throughput data sets, or to ...
Halling-Brown Mark D   +8 more
core   +1 more source

Predicting the structural impact of human alternative splicing

open access: yesGenome Biology
Background Protein structure prediction with neural networks is a powerful new method for linking protein sequence, structure, and function, but structures have generally been predicted for only a single isoform of each gene, neglecting splice variants ...
Yuxuan Song   +4 more
doaj   +1 more source

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