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Article
Open AccessThe tumour microenvironment, treatment resistance and recurrence in glioblastoma
The adaptability of glioblastoma (GBM) cells, encouraged by complex interactions with the tumour microenvironment (TME), currently renders GBM an incurable cancer. Despite intensive research, with many clinica...
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Article
Open AccessUnlocking hidden potential: advancements, approaches, and obstacles in repurposing drugs for cancer therapy
High rates of failure, exorbitant costs, and the sluggish pace of new drug discovery and development have led to a growing interest in repurposing “old” drugs to treat both common and rare diseases, particular...
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Article
Open AccessProteomic analysis of low- and high-grade human colon adenocarcinoma tissues and tissue-derived primary cell lines reveals unique biological functions of tumours and new protein biomarker candidates
Colon cancer is the third most common cancer and second highest cause of cancer deaths worldwide. The aim of the study was to find new biomarkers for diagnosis, prognosis and therapeutic drug targets for this ...
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Article
Cracking Characteristics of the Surrounding Rocks of a Hydraulic Tunnel Under High Geothermal Conditions: A Model Test
In the present study, a physical model test was used to investigate the cracking characteristics of the surrounding rocks of hydraulic tunnels under high geothermal conditions. Based on similarity theory, a si...
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Chapter and Conference Paper
A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry
Preprocessing tandem mass spectra to classify the signal and noise peaks plays a crucial role for improving the accuracy of most peptide identification algorithms. As a CID tandem mass spectra dataset is highl...
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Article
Preprocessing Tandem Mass Spectra Using Genetic Programming for Peptide Identification
One of the major challenges in proteomics is peptide identification from mass spectra containing high noise ratio and small number of signal (b-/y-ions) peaks. However, the accuracy and reliability of peptide ...
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Article
Open AccessCombination of laser microdissection, 2D-DIGE and MALDI-TOF MS to identify protein biomarkers to predict colorectal cancer spread
Biomarkers are urgently required to support current histological staging to provide additional accuracy in stratifying colorectal cancer (CRC) patients according to risk of spread to properly assign adjuvant c...
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Chapter and Conference Paper
GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry Using Genetic Algorithm
Proteomics is the large-scale analysis of the proteins. The common method for identifying proteins and characterising their amino acid sequences is to digest the proteins into peptides, analyse the peptides us...
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Chapter and Conference Paper
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches
De novo peptide sequencing algorithms have been widely used in proteomics to analyse tandem mass spectra (MS/MS) and assign them to peptides, but quality-control methods to evaluate the confidence of de novo pept...
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Chapter and Conference Paper
A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data
Mass spectrometry is currently the most commonly used technology in biochemical research for proteomic analysis. The main goal of proteomic profiling using mass spectrometry is the classification of samples fr...
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Chapter and Conference Paper
Genetic Programming for Measuring Peptide Detectability
The biomarker discovery process usually produces a long list of candidates, which need to be verified. The verification of protein biomarkers from mass spectrometry data can be done through measuring the detec...
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Chapter and Conference Paper
GPMS: A Genetic Programming Based Approach to Multiple Alignment of Liquid Chromatography-Mass Spectrometry Data
Alignment of samples from Liquid chromatography-mass spectrometry (LC-MS) measurements has a significant role in the detection of biomarkers and in metabolomic studies.The machine drift causes differences betw...
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Chapter and Conference Paper
Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach
Biomarker discovery using mass spectrometry (MS) data is very useful in disease detection and drug discovery. The process of biomarker discovery in MS data must start with feature selection as the number of fe...
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Chapter and Conference Paper
Application of Cooperative Convolution Optimization for 13C Metabolic Flux Analysis: Simulation of Isotopic Labeling Patterns Based on Tandem Mass Spectrometry Measurements
Metabolic fluxes are the key determinants of cellular metabolism. They are estimated from stable isotope labeling experiments and provide the informative parameters in evaluating cell physiology and causes of ...
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Chapter and Conference Paper
Genetic Programming for Biomarker Detection in Mass Spectrometry Data
Classification of mass spectrometry (MS) data is an essential step for biomarker detection which can help in diagnosis and prognosis of diseases. However, due to the high dimensionality and the small sample si...
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Article
Effects of the microtubule stabilizing agent peloruside A on the proteome of HL-60 cells
Peloruside A, isolated from the marine sponge Mycale hentscheli, has a similar mechanism of action to paclitaxel (Taxol®), a drug used clinically to treat tumors of the breast, ovary and lung. Paclitaxel and pelo...
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Article
Continuous production of structured phospholipids in a packed bed reactor with lipase from Thermomyces lanuginosa
The possibilities of producing structured phospholipids between soybean phospholipids and caprylic acid by lipase-catalyzed acidolysis were examined in continuous packedbed enzyme reactors. Acidolysis reaction...
