Results 151 to 160 of about 3,347,103 (312)

A Mathematical Model of Central Dogma of Molecular Biology employing a Novel Irrational-Integral-Imaginary (i3) Encoding and Numerical Approximation based on Cellular Automaton [PDF]

open access: yes, 2014
Cellular Automaton (CA) is usually used to model the spatio-temporal evolution of dynamical systems. In this work, a special class of the same known as 'Outer-totalistic' Cellular Automaton is applied to examine if there is a rationale behind the ...
Sharma, Praharshit; Department of Biotechnology and Bioinformatics, Sikkim Manipal University, Karnataka - 576104, India.   +2 more
core  

Correction: Data-driven prediction and design of bZIP coiled-coil interactions. [PDF]

open access: yesPLoS Computational Biology, 2015
PLOS Computational Biology Staff
doaj   +1 more source

Genetic dissection of human ABCE1 in yeast reveals separable requirements for ribosome recycling and suppression of aberrant reinitiation

open access: yesFEBS Open Bio, EarlyView.
Human ABCE1 cannot functionally replace its yeast ortholog. Yeast–human chimera analysis identified NBD1 as a major interspecies barrier. Genetic screening yielded hABCE1 revertants that rescue yeast viability but fail to suppress aberrant translation reinitiation in the 3′ UTR.
Eriko Nakata   +3 more
wiley   +1 more source

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou   +16 more
wiley   +1 more source

Computational pan-genomics: status, promises and challenges

open access: yes, 2018
Many disciplines, from human genetics and oncology to plant breeding, microbiology and virology, commonly face the challenge of analyzing rapidly increasing numbers of genomes.
Dutilh, B.E.   +1 more
core  

Computational Biology and High Performance Computing [PDF]

open access: yes, 1999
The pace of extraordinary advances in molecular biology has accelerated in the past decade due in large part to discoveries coming from genome projects on human and model organisms.
Simon, Horst D.   +5 more
core  

Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif   +17 more
wiley   +1 more source

Computational Tools for Investigating RNA-Protein Interaction Partners [PDF]

open access: yes, 2013
RNA-protein interactions are important in a wide variety of cellular and developmental processes. Recently, high-throughput experiments have begun to provide valuable information about RNA partners and binding sites for many RNA-binding proteins (RBPs ...
Muppirala, Usha   +2 more
core  

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian   +6 more
wiley   +1 more source

Guest Editor's Introduction to the Special Issue on Computational Biology and Bioinformatics - Part 1

open access: yes, 2006
In the last 10 years, bioinformatics has emerged as a necessary interdisciplinary science where different dis- ciplines contribute to the advancement of a common goal: establishing new paradigms for modern biology.
CASADIO, RITA
core   +1 more source

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