Systems biology is revealing multiple layers of regulatory networks that manifest spatiotemporal variations. Since genes and environment also influence the emergent property of a cell, the biological output requires dynamic understanding of various molecular circuitries. The metabolic networks continually adapt and evolve to cope with the changing milieu of the system, which could also include infection by another organism. Such perturbations of the functional networks can result in disease phenotypes, for instance tuberculosis and cancer. In order to develop effective therapeutics, it is important to determine the disease progression profiles of complex disorders that can reveal dynamic aspects and to develop mutitarget systemic therapies ...
Human physiology incorporates integrated biological processes ranging from cell-to-cell interactions...
In the footsteps of groundbreaking achievements made by biomedical research, another scientific revo...
For complex diseases, most drugs are highly ineffective, and the success rate of drug discovery is i...
Systems biology is revealing multiple layers of regulatory networks that manifest spatiotemporal var...
The concept of systems-based strategies in medicine is emerging, with systems pathology guiding an u...
Abstract With the wealth of data accumulated from completely sequenced genomes and other high-throug...
The structure and dynamics of protein signalling networks governs cell decision processes and the fo...
Network medicine is a rapidly evolving new field of medical research, which combines principles and ...
Two parallel trends are occurring in drug discovery. The first is that we are moving away from a sym...
Cancer is increasingly described as a systems-level, network phenomenon. Genetic methods, such as ne...
Applications of network analysis to the study of disease can be divided into two main categories: di...
Conferenciante invitado al ciclo de conferencias del Máster en Biología Celular y MolecularNetwork a...
As new technologies are providing us with ever-richer, more complex data sets that capture diverse y...
Cancer is increasingly described as a systems-level, network phenomenon. Genetic methods, such as ne...
The identification of the underlying causes of complex diseases is one of the major challenges medic...
Human physiology incorporates integrated biological processes ranging from cell-to-cell interactions...
In the footsteps of groundbreaking achievements made by biomedical research, another scientific revo...
For complex diseases, most drugs are highly ineffective, and the success rate of drug discovery is i...
Systems biology is revealing multiple layers of regulatory networks that manifest spatiotemporal var...
The concept of systems-based strategies in medicine is emerging, with systems pathology guiding an u...
Abstract With the wealth of data accumulated from completely sequenced genomes and other high-throug...
The structure and dynamics of protein signalling networks governs cell decision processes and the fo...
Network medicine is a rapidly evolving new field of medical research, which combines principles and ...
Two parallel trends are occurring in drug discovery. The first is that we are moving away from a sym...
Cancer is increasingly described as a systems-level, network phenomenon. Genetic methods, such as ne...
Applications of network analysis to the study of disease can be divided into two main categories: di...
Conferenciante invitado al ciclo de conferencias del Máster en Biología Celular y MolecularNetwork a...
As new technologies are providing us with ever-richer, more complex data sets that capture diverse y...
Cancer is increasingly described as a systems-level, network phenomenon. Genetic methods, such as ne...
The identification of the underlying causes of complex diseases is one of the major challenges medic...
Human physiology incorporates integrated biological processes ranging from cell-to-cell interactions...
In the footsteps of groundbreaking achievements made by biomedical research, another scientific revo...
For complex diseases, most drugs are highly ineffective, and the success rate of drug discovery is i...