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Updated: April 27th, 2024 05:01

2024 journal article

Quantifying collective motion patterns in mesenchymal cell populations using topological data analysis and agent-based modeling

*MATHEMATICAL BIOSCIENCES*, *370*.

Sources: Web Of Science, NC State University Libraries

Added: April 22, 2024

2023 journal article

Estimation of Parameter Distributions for Reaction-Diffusion Equations with Competition using Aggregate Spatiotemporal Data

*BULLETIN OF MATHEMATICAL BIOLOGY*, *85*(7).

author keywords: Glioblastoma multiforme; Random differential equation; Parameter estimation; k-Means clustering

MeSH headings : Humans; Mathematical Concepts; Models, Biological; Brain Neoplasms; Glioblastoma

TL;DR:
This work uses Prokhorov metric framework and converts the reaction-diffusion model to a random differential equation model to estimate joint distributions of diffusion and growth rates among heterogeneous subpopulations and finds that therandom differential equation is more capable at predicting the cell density compared to other models while being more time efficient.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: June 19, 2023

2023 journal article

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in<i> Populus</i><i> trichocarpa</i>

*PLANT PHENOMICS*, *5*.

Source: Web Of Science

Added: January 2, 2024

2023 journal article

Parameter estimation and identifiability analysis for a bivalent analyte model of monoclonal antibody-antigen binding

*ANALYTICAL BIOCHEMISTRY*, *679*.

author keywords: Bivalent analyte; Binding kinetics; Parameter identifiability; Surface plasmon resonance

TL;DR:
A pipeline for analysis of bivalent analyte binding kinetics that allows for the use of high-throughput, non-regenerative experimental designs, optimizes using several sets of initial parameter values to ensure that the algorithm is able to reach the lowest minimum error and applies a profile likelihood method to explore parameter identifiability.
(via Semantic Scholar)

Source: Web Of Science

Added: November 13, 2023

2022 journal article

Multitask neural networks for predicting bladder pressure with time series data

*BIOMEDICAL SIGNAL PROCESSING AND CONTROL*, *72*.

UN Sustainable Development Goal Categories

5. Gender Equality
(Web of Science)

Source: Web Of Science

Added: November 29, 2021

2021 journal article

Deep Learning Approach to the Detection of Scattering Delay in Radar Images

*JOURNAL OF STATISTICAL THEORY AND PRACTICE*, *15*(1).

author keywords: Radar imaging; Dispersive targets; Classification; Convolutional neural network

TL;DR:
A convolutional neural network is applied to the problem of discrimination between the instantaneous and delayed targets in synthetic aperture radar images, and a trained neural network demonstrates the discrimination quality commensurate with that of the benchmark maximum likelihood-based classifier.
(via Semantic Scholar)

Sources: Web Of Science, NC State University Libraries

Added: January 4, 2021

2021 journal article

Deep learning and regression approaches to forecasting blood glucose levels for type 1 diabetes

*BIOMEDICAL SIGNAL PROCESSING AND CONTROL*, *69*.

author keywords: Neural networks; Regression; Encoder decoder; Time series forecasting; Diabetes

TL;DR:
A neural network model using an encoder-decoder architecture has the most stable performance and is able to recover missing dynamics in short time intervals and may enable a feasible solution with low computational cost for the time-dependent adjustment of artificial pancreas for diabetes patients.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries

Added: August 30, 2021

2021 review

Learning differential equation models from stochastic agent-based model simulations

[Review of ]. *JOURNAL OF THE ROYAL SOCIETY INTERFACE*, *18*(176).

author keywords: agent-based models; differential equations; equation learning; population dynamics; disease dynamics

MeSH headings : Learning; Models, Biological; Molecular Dynamics Simulation; Monte Carlo Method; Stochastic Processes

TL;DR:
This tutorial proposes that methods from the equation learning field provide a promising, novel and unifying approach for agent-based model analysis, and demonstrates that this framework is easy to use, requires few model simulations, and accurately predicts model dynamics in parameter regions where coarse-grained differential equation models fail to do so.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: April 12, 2021

2021 article

Predicting Inter-individual Variability During Lipid Resuscitation of Bupivacaine Cardiotoxicity in Rats: A Virtual Population Modeling Study

McDaniel, M., Flores, K. B., & Akpa, B. S. (2021, July 19). *DRUGS IN R&D*, Vol. 7.

MeSH headings : Anesthetics, Local / toxicity; Animals; Bupivacaine / toxicity; Cardiotoxicity; Lipids; Rats; Rats, Sprague-Dawley

TL;DR:
A mechanistic model predicted a plausible range of treatment outcomes that accurately predicts changes in LD50 when extrapolated to putatively toxic doses of bupivacaine, and causal analysis of the predicted survival outcomes indicated a critical synergy between scavenging and direct cardiotonic mechanisms of ILE action.
(via Semantic Scholar)

Sources: Web Of Science, ORCID, NC State University Libraries

Added: July 20, 2021

2021 journal article

Stoichiometric Ecotoxicology for a Multisubstance World

*BIOSCIENCE*, *71*(2), 132–147.

author keywords: nutrient ratios; elemental imbalances; toxicity; ecotoxicological models; multiple stressors

TL;DR:
Stochichiometric ecotoxicology is introduced, a subfield in ecology that examines how contaminant stress, nutrient supply, and elemental constraints interact throughout all levels of biological organization.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

2. Zero Hunger
(OpenAlex)

6. Clean Water and Sanitation
(Web of Science)

13. Climate Action
(Web of Science)

15. Life on Land
(Web of Science)

Source: Web Of Science

Added: May 24, 2021

2021 journal article

Topological data analysis distinguishes parameter regimes in the Anderson-Chaplain model of angiogenesis

*PLOS COMPUTATIONAL BIOLOGY*, *17*(6).

MeSH headings : Algorithms; Animals; Blood Vessels / anatomy & histology; Blood Vessels / growth & development; Blood Vessels / physiology; Chemotaxis; Computational Biology; Computer Simulation; Humans; Models, Cardiovascular; Neoplasms / blood supply; Neovascularization, Pathologic; Neovascularization, Physiologic; Spatio-Temporal Analysis

TL;DR:
This work simulates the Anderson-Chaplain model of angiogenesis at different parameter values, and proposes a topological data analysis (TDA) pipeline for systematic analysis of the model and shows that TDA of model simulation data stratifies parameter space into regions with similar vessel morphology.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

6. Clean Water and Sanitation
(OpenAlex)

Source: Web Of Science

Added: July 19, 2021

2020 review

A tutorial review of mathematical techniques for quantifying tumor heterogeneity

[Review of ]. *MATHEMATICAL BIOSCIENCES AND ENGINEERING*, *17*(4), 3660–3709.

author keywords: cancer heterogeneity; mathematical oncology; tumor growth; glioblastoma multiforme; virtual populations; nonlinear mixed effects; spatiotemporal data; Bayesian estimation; generative; adversarial networks; non-parametric estimation; variational autoencoders; machine learning

MeSH headings : Bayes Theorem; Humans; Machine Learning; Models, Theoretical; Neoplasms; Precision Medicine

TL;DR:
Several techniques that can be used to aid the mathematical modeller in inferring and quantifying both sources of heterogeneity from patient data are reviewed, including virtual populations, nonlinear mixed effects modeling, non-parametric estimation, Bayesian techniques, and machine learning.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 3, 2020

2020 journal article

Biologically-informed neural networks guide mechanistic modeling from sparse experimental data

*PLOS COMPUTATIONAL BIOLOGY*, *16*(12).

MeSH headings : Computer Simulation; Machine Learning; Neural Networks, Computer; Nonlinear Dynamics

TL;DR:
BINNs are trained in a supervised learning framework to approximate in vitro cell biology assay experiments while respecting a generalized form of the governing reaction-diffusion partial differential equation (PDE).
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: January 4, 2021

2020 journal article

Deep learning-enabled analysis reveals distinct neuronal phenotypes induced by aging and cold-shock

*BMC BIOLOGY*, *18*(1).

author keywords: Deep learning; Convolutional neural networks; Neurodegeneration; Neuronal beading; Aging; Machine learning; Phenotyping; C; elegans

MeSH headings : Aging / physiology; Animals; Caenorhabditis elegans / physiology; Cold-Shock Response / physiology; Deep Learning; Neurons / physiology; Phenotype

TL;DR:
Deep learning is applied to perform quantitative image-based analysis of complex neurodegeneration patterns exhibited by the PVD neuron in C. elegans and revealed that distinct patterns of morphological alteration are induced by aging and cold-shock, suggesting different mechanisms at play.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, ORCID, NC State University Libraries

Added: October 26, 2020

2020 journal article

Learning Equations from Biological Data with Limited Time Samples

*BULLETIN OF MATHEMATICAL BIOLOGY*, *82*(9).

author keywords: Equation learning; Numerical differentiation; Sparse regression; Model selection; Partial differential equations; Parameter estimation; Population dynamics; Glioblastoma multiforme

MeSH headings : Computational Biology / methods; Glioblastoma; Humans; Learning; Mathematical Concepts; Models, Biological; Nonlinear Dynamics

TL;DR:
This work presents an equation learning methodology comprised of data denoising, equation learning, model selection and post-processing steps that infers a dynamical systems model from noisy spatiotemporal data and highlights how these results are informative for data-driven modeling-based tumor invasion predictions.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: September 28, 2020

2020 journal article

Learning partial differential equations for biological transport models from noisy spatio-temporal data

author keywords: numerical differentiation; equation learning; sparse regression; partial differential equations; parameter estimation; biological transport

TL;DR:
It is shown that the ANN methodology outperforms previous denoising methods, including finite differences and both local and global polynomial regression splines, in the ability to accurately approximate partial derivatives and learn the correct PDE model.
(via Semantic Scholar)

Source: Web Of Science

Added: March 30, 2020

2020 article

Lifelong Analysis of Key Aging Genes as Determinants of Lifespan in <it>C</it>. <it>elegans</it>

San Miguel, A., Ramirez, J., & Flores, K. (2020, April). *FASEB JOURNAL*, Vol. 34.

Sources: Web Of Science, NC State University Libraries

Added: October 12, 2020

2018 article

Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network

*MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV*, Vol. 11073, pp. 686–694.

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 12, 2019

2018 journal article

Detection of Bladder Contractions From the Activity of the External Urethral Sphincter in Rats Using Sparse Regression

*IEEE Transactions on Neural Systems and Rehabilitation Engineering*, *26*(8), 1636–1644.

author keywords: LASSO; neural stimulation; bladder dysfunction; spectrogram

MeSH headings : Algorithms; Animals; Computer Simulation; Electromyography; Female; Models, Theoretical; Muscle Contraction / physiology; Pudendal Nerve; Rats; Rats, Wistar; Urethra / physiology; Urinary Bladder / physiology; Urinary Incontinence / rehabilitation

TL;DR:
A novel method for prediction of bladder pressure using a time-dependent spectrogram representation of external urethral sphincter electromyographic (EUS EMG) activity and a least absolute shrinkage and selection operator regression model is proposed.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

5. Gender Equality
(Web of Science)

Sources: Crossref, NC State University Libraries

Added: July 20, 2019

2018 journal article

Estimating intratumoral heterogeneity from spatiotemporal data

*JOURNAL OF MATHEMATICAL BIOLOGY*, *77*(6-7), 1999–2022.

author keywords: Glioblastoma multiforme; Random differential equation; Parameter estimation

MeSH headings : Antineoplastic Agents / therapeutic use; Brain Neoplasms / drug therapy; Brain Neoplasms / pathology; Cell Movement; Cell Proliferation; Computer Simulation; Glioblastoma / drug therapy; Glioblastoma / pathology; Humans; Mathematical Concepts; Models, Biological; Neoplasm Invasiveness / pathology; Phenotype; Probability; Spatio-Temporal Analysis; Tumor Burden / drug effects

TL;DR:
The predicted effect of treatment, specifically, chemotherapy, when assuming such a heterogeneous population and compare with predictions from a homogeneous cell population model are examined.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: December 17, 2018

2018 journal article

Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model

*Bulletin of Mathematical Biology*, *80*(6), 1578–1595.

author keywords: State space reconstruction; Uncertainty quantification; Structured population model; Forecasting

MeSH headings : Animals; Bayes Theorem; Coleoptera / pathogenicity; Coleoptera / physiology; Forecasting / methods; Mathematical Concepts; Models, Biological; Multivariate Analysis; Population Dynamics / statistics & numerical data; Uncertainty

TL;DR:
An analysis of the results from Bayesian inference for the mechanistic model and hybrid models is performed to suggest reasons why hybrid modeling methodology may enable more accurate forecasts of multivariate systems than traditional approaches.
(via Semantic Scholar)

Sources: Web Of Science, Crossref, NC State University Libraries

Added: August 6, 2018

2017 journal article

Continuous Structured Population Models for Daphnia magna

*Bulletin of Mathematical Biology*, *79*(11), 2627–2648.

author keywords: Continuous structured population models; Inverse problems; Generalized least squares; Model selection; Information content; Residual plots

MeSH headings : Animals; Computer Simulation; Confidence Intervals; Daphnia / growth & development; Daphnia / physiology; Female; Fertility; Food; Least-Squares Analysis; Male; Mathematical Concepts; Models, Biological; Population Dynamics

TL;DR:
The model is fit to experimental data using the generalized least-squares framework, and the authors use cross-validation and Akaike Information Criteria to select hyper-parameters and present the confidence intervals on parameter estimates.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

2. Zero Hunger
(OpenAlex)

3. Good Health and Well-being
(Web of Science)

Source: Crossref

Added: July 20, 2019

2017 journal article

Estimating the rate of prion aggregate amplification in yeast with a generation and structured population model

*Inverse Problems in Science and Engineering*, *26*(2), 257–279.

author keywords: Structured population model; aggregate data; inverse problem; PDEs; prion; General biology and biomathematics

TL;DR:
A mathematical and inverse problem formulation is developed to determine the amplification rate with prion aggregates from single-cell measurements observed in propagon amplification experiments, and results show that aggregate amplification rates for two prion variants are strongly bimodal, suggesting that the generational structure in the yeast population impacts the ability of prions aggregates to amplify.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Crossref

Added: July 20, 2019

2017 journal article

Hybrid modeling and prediction of dynamical systems

*PLoS Computational Biology*, *13*(7).

Source: NC State University Libraries

Added: August 6, 2018

2017 journal article

Statistical error model comparison for logistic growth of green algae (Raphidocelis subcapitata)

*Applied Mathematics Letters*, *64*, 213–222.

author keywords: Algae growth models; Parameter estimation; Uncertainty quantification; Asymptotic theory

TL;DR:
A proportional error statistical model is suggested to be the most appropriate for logistic growth modeling of R. subcapitata continuous population growth.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Crossref, Web Of Science

Added: August 6, 2018

2016 journal article

Build to understand: synthetic approaches to biology

*Integrative Biology*, *8*(4), 394–408.

MeSH headings : Animals; Bacillus subtilis / genetics; Cell Communication; Computer Simulation; Feedback, Physiological; Gene Expression; Gene Regulatory Networks; Humans; Models, Genetic; N-Acetylmuramoyl-L-alanine Amidase / chemistry; Oscillometry; Stochastic Processes; Synthetic Biology / methods

TL;DR:
This review gives examples where experimentation with synthetic gene circuits has been used to understand four fundamental mechanisms intrinsic to development and disease: multistability, stochastic gene expression, oscillations, and cell-cell communication.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Crossref

Added: July 20, 2019

2016 journal article

On analytical and numerical approaches to division and label structured population models

*APPLIED MATHEMATICS LETTERS*, *60*, 81–88.

author keywords: Division-structured population model; Heterogeneous cell populations; Protein dynamics

TL;DR:
This work demonstrates that analytical solutions are possible for more general forms of intracellular dynamics offering the promise to lend mathematical insight into population dynamics in more realistic biological settings.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2016 journal article

Validation of a mathematical model for green algae (Raphidocelis Subcapitata) growth and implications for a coupled dynamical system with Daphnia magna

*Applied Sciences-Basel*, *6*(5).

Source: NC State University Libraries

Added: August 6, 2018

2015 journal article

Correlation of parameter estimators for models admitting multiple parametrizations

*International Journal of Pure and Applied Mathematics*, *105*(3), 497–522.

Source: Crossref

Added: August 18, 2019

2015 journal article

Estimation of time-varying mortality rates using continuous models for Daphnia magna

*APPLIED MATHEMATICS LETTERS*, *44*, 12–16.

author keywords: Structured population model; Leslie matrix model; Sinko-Streifer model; Daphnia magna; Time-dependent mortality rate

TL;DR:
It is found that a continuous differential equation model with a time-varying mortality rate was the most accurate model for describing the authors' experimental D. magna survival data.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Sources: Web Of Science, NC State University Libraries

Added: August 6, 2018

2015 journal article

Immuno-modulatory strategies for reduction of HIV reservoir cells

*JOURNAL OF THEORETICAL BIOLOGY*, *372*, 146–158.

author keywords: Immune response; Mathematical model; Inverse problem; Stability analysis

MeSH headings : Anti-HIV Agents / chemistry; CD4-Positive T-Lymphocytes / immunology; CD4-Positive T-Lymphocytes / virology; CD8-Positive T-Lymphocytes / immunology; CD8-Positive T-Lymphocytes / virology; Cell Proliferation; Computer Simulation; HIV Infections / immunology; HIV Infections / therapy; HIV-1; Homeostasis; Humans; Models, Biological; Viral Load; Virus Latency

TL;DR:
The findings indicate that the strategy of reactivating the reservoir combined with enhancement of the killing rate of HIV-specific CD8+ T cells is able to eradicate the reservoir.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2015 journal article

Optimal design for minimizing uncertainty in dynamic equilibrium systems

*Eurasian Journal of Mathematical and Computer Applications*, *3*(1), 23–47.

Source: NC State University Libraries

Added: July 10, 2019

2015 journal article

Optimal design of non-equilibrium experiments for genetic network interrogation

*APPLIED MATHEMATICS LETTERS*, *40*, 84–89.

author keywords: Optimal experimental design; Inverse problem; Uncertainty analysis; Brome mosaic virus; Synthetic biology; Genetic networks

TL;DR:
An optimal design algorithm is developed that calculates optimal observation times in conjunction with optimal experimental perturbations in order to maximize the amount of information gained from longitudinal data derived from such experiments.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2015 journal article

Statistical validation of structured population models for Daphnia magna

*Mathematical Biosciences*, *266*, 73–84.

author keywords: Sensitivity analysis; Structured population model; Uncertainty quantification; Density-dependence; Multi-scale data; Daphnia magna

MeSH headings : Animals; Daphnia; Models, Statistical; Population Dynamics

TL;DR:
This study develops structured population models that exemplify specific mechanisms and uses multi-scale experimental data in order to test their importance, and shows that fecundity and survival rates are affected by both time-varying density-independent factors and density-dependent factors.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Sources: Web Of Science, NC State University Libraries, Crossref

Added: August 6, 2018

2015 journal article

The genomes of two key bumblebee species with primitive eusocial organization

*Genome Biology*, *16*.

Source: NC State University Libraries

Added: August 6, 2018

2015 journal article

UNCERTAINTY QUANTIFICATION IN MODELING HIV VIRAL MECHANICS

*MATHEMATICAL BIOSCIENCES AND ENGINEERING*, *12*(5), 937–964.

MeSH headings : Algorithms; Anti-HIV Agents / therapeutic use; CD4-Positive T-Lymphocytes / virology; Clinical Trials as Topic; HIV Infections / drug therapy; HIV Infections / physiopathology; HIV Infections / virology; HIV-1 / physiology; Humans; Least-Squares Analysis; Models, Biological; Models, Statistical; RNA, Viral / analysis; Reverse Transcriptase Inhibitors / therapeutic use; Uncertainty; Viral Load

TL;DR:
An in-host model for HIV-1 infection dynamics developed and validated with patient data in earlier work is considered and Bootstrapping and asymptotic theory are compared in the context of confidence intervals for the resulting parameter estimates.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2014 conference paper

Uncertainty quantification for a model of HIV-1 patient response to antiretroviral therapy interruptions

*2014 american control conference (acc)*, 2753–2758.

Source: NC State University Libraries

Added: August 6, 2018

2013 journal article

A mathematical model of RNA3 recruitment in the replication cycle of Brome Mosaic Virus

*International Journal of Pure and Applied Mathematics*, *89*(2), 251–274.

Source: Crossref

Added: August 18, 2019

2013 journal article

A structured population modeling framework for quantifying and predicting gene expression noise in flow cytometry data

*APPLIED MATHEMATICS LETTERS*, *26*(7), 794–798.

author keywords: Structured population models; Distributed parameters; Gene regulatory networks; Gene expression noise; Synthetic biology

TL;DR:
The results suggest that cellular switching between high and low expression states and transcriptional re-initiation are important factors needed to accurately describe gene expression noise with a structured population model.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science)

Source: Web Of Science

Added: August 6, 2018

2013 journal article

DATA AND IMPLICATION BASED COMPARISON OF TWO CHRONIC MYELOID LEUKEMIA MODELS

*MATHEMATICAL BIOSCIENCES AND ENGINEERING*, *10*(5-6), 1501–1518.

author keywords: Chronic myeloid leukemia; clinical data; drug resistance; cancer modeling

MeSH headings : Algorithms; Benzamides / administration & dosage; Computer Simulation; Drug Resistance, Neoplasm; Fusion Proteins, bcr-abl / metabolism; Hematopoietic Stem Cells / metabolism; Humans; Imatinib Mesylate; Leukemia, Myelogenous, Chronic, BCR-ABL Positive / epidemiology; Leukemia, Myelogenous, Chronic, BCR-ABL Positive / physiopathology; Models, Biological; Mutation; Piperazines / administration & dosage; Pyrimidines / administration & dosage; Randomized Controlled Trials as Topic; Time Factors; Treatment Outcome

TL;DR:
It is suggested that including sub-cellular mechanisms in a mathematical model of CML can increase the accuracy of parameter estimation and may help to predict long-term drug resistance.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

3. Good Health and Well-being
(Web of Science; OpenAlex)

Source: Web Of Science

Added: August 6, 2018

2013 journal article

The Role of Methylation of DNA in Environmental Adaptation

*Integrative and Comparative Biology*, *53*(2), 359–372.

MeSH headings : Adaptation, Physiological / genetics; Animals; Base Sequence / genetics; Bees / genetics; Bees / physiology; DNA Methylation / genetics; Environment; Evolution, Molecular; Genetic Variation; Genome, Insect / genetics; Mutation / genetics; Phenotype

TL;DR:
It is proposed that environmentally-induced DNA methylation causes phenotypic heterogeneity that provides a substrate for selection via forces that act on the epigenetic machinery, and selectively favored transitory alterations in the genome invoked byDNA methylation could ultimately become selectable genetic variation through mutation.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

15. Life on Land
(OpenAlex)

Source: Crossref

Added: July 20, 2019

2012 journal article

Genome-wide association between DNA methylation and alternative splicing in an invertebrate

*BMC Genomics*, *13*(1), 480.

MeSH headings : Alternative Splicing; Animals; Base Sequence; Bees / genetics; Conserved Sequence; CpG Islands; DNA Methylation; Evolution, Molecular; Exons / genetics; Gene Expression Profiling; Genes, Insect; Genome-Wide Association Study; Molecular Sequence Data; Sequence Analysis, RNA; Transcriptome; Wasps / genetics

TL;DR:
The finding that methylated genes are enriched for alternative splicing suggests that, in invertebrates, exon-level DNA methylation may play a role in the construction of splice variants by positively influencing exon inclusion during transcription.
(via Semantic Scholar)

UN Sustainable Development Goal Categories

15. Life on Land
(OpenAlex)

Source: Crossref

Added: July 20, 2019

2011 journal article

Deciphering a methylome: what can we read into patterns of DNA methylation?

*Journal of Experimental Biology*, *214*(19), 3155–3163.

author keywords: CG methylation; DNA sequencing; genome analysis; honeybee genome; epigenetics

MeSH headings : Animals; Bees / genetics; Computational Biology / methods; Cytosine / metabolism; DNA Methylation / genetics; Epigenomics / methods; Genome / genetics

Source: Crossref

Added: July 20, 2019

2010 journal article

The random walk of Azospirillum brasilense

*Journal of Biological Dynamics*, *4*(1), 71–85.

MeSH headings : Azospirillum brasilense / physiology; Models, Biological; Movement

TL;DR:
A model is presented in which a correlated random walk on a line is joined to diffusion on a sphere of directions, ranging from a hyperbolic system with four dependent variables to a scalar damped wave equation and then to a single diffusion equation for particle density.
(via Semantic Scholar)

Source: Crossref

Added: July 20, 2019

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