Results 51 to 60 of about 1,973,231 (200)
FiTMuSiC: leveraging structural and (co)evolutionary data for protein fitness prediction
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]
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
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
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
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]
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]
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
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]
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
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

