Results 61 to 70 of about 165,849 (202)
Functional complexity of the Leishmania granuloma and the potential of in silico modelling
In human and canine visceral leishmaniasis and in various experimental models of this disease, host resistance is strongly linked to efficient granuloma development.
John eMoore +7 more
doaj +1 more source
In silico transitions to multicellularity
The emergence of multicellularity and developmental programs are among the major problems of evolutionary biology. Traditionally, research in this area has been based on the combination of data analysis and experimental work on one hand and theoretical ...
Duran-Nebreda, Salva, Solé, Ricard V.
core +1 more source
Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics. [PDF]
The annotation of small molecules remains a major challenge in untargeted mass spectrometry-based metabolomics. We here critically discuss structured elucidation approaches and software that are designed to help during the annotation of unknown compounds.
Blaženović, Ivana +3 more
core +3 more sources
Multiscale In Silico Modeling of Cartilage Injuries
AbstractInjurious loading of the joint can be accompanied by articular cartilage damage and trigger inflammation. However, it is not well-known which mechanism controls further cartilage degradation, ultimately leading to post-traumatic osteoarthritis.
Eskelinen Atte Seppo Aleksi +5 more
openaire +2 more sources
In silico modeling for tumor growth visualization [PDF]
Cancer is a complex disease. Fundamental cellular based studies as well as modeling provides insight into cancer biology and strategies to treatment of the disease. In silico models complement in vivo models. Research on tumor growth involves a plethora of models each emphasizing isolated aspects of benign and malignant neoplasms.
Jeanquartier, Fleur +3 more
openaire +2 more sources
A signaling visualization toolkit to support rational design of combination therapies and biomarker discovery: SiViT [PDF]
Targeted cancer therapy aims to disrupt aberrant cellular signalling pathways. Biomarkers are surrogates of pathway state, but there is limited success in translating candidate biomarkers to clinical practice due to the intrinsic complexity of pathway ...
Boiko, Andrei +6 more
core +3 more sources
Doxorubicin PK/PD modeling in multiple myeloma: towards in silico trials
Doxorubicin (DOXO) is a well-known chemotherapy drug, which is widely used in the treatment of Multiple Myeloma (MM), a treatable but not curable type of blood cancer.
Daniele Andrean +4 more
doaj +1 more source
In Silico Experimental Modeling of Cancer Treatment [PDF]
In silico experimental modeling of cancer involves combining findings from biological literature with computer-based models of biological systems in order to conduct investigations of hypotheses entirely in the computer laboratory. In this paper, we discuss the use of in silico modeling as a precursor to traditional clinical and laboratory research ...
Trisilowati, T, Mallet, Dann
openaire +2 more sources
Background Contemporary biological observations have revealed a large variety of mechanisms acting during the expansion of a tumor. However, there are still many qualitative and quantitative aspects of the phenomenon that remain largely unknown.
Markos Antonopoulos +3 more
doaj +1 more source
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB
Background In 2018, about 10 million people were found infected by tuberculosis, with approximately 1.2 million deaths worldwide. Despite these numbers have been relatively stable in recent years, tuberculosis is still considered one of the top 10 ...
Giulia Russo +10 more
doaj +1 more source

