Computational biology involves the development and application of data-analytical and theoretical methods, mathematical modelling and computational simulation techniques to the study of biological systems. The field is broadly defined and includes foundations in biology, applied mathematics, statistics, biochemistry, chemistry, biophysics, molecular biology, genetics, genomics, computer science, and evolution.
Biological data has now become commonplace, particularly in molecular biology and genomics. Many databases exist, covering various information types: for example, DNA and protein sequences, molecular structures, phenotypes and biodiversity. Databases may contain empirical data (obtained directly from experiments), predicted data (obtained from analysis), or, most commonly, both. They may be specific to a particular organism, pathway or molecule of interest. Alternatively, they can incorporate data compiled from multiple other databases. These databases vary in their format, access mechanism, and whether they are public or not. Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. Bioinformatics tools aid in comparing, analyzing and interpreting genetic and genomic data and more generally in the understanding of the biological pathways and networks that are an important part of systems biology. In structural biology, it aids in the simulation and modeling of DNA, RNA, proteins as well as biomolecular interactions. Homology modeling, protein threading and de novo (from scratch) physics-based modeling are important techniques for predicting protein structure.
Computational biology is transforming modern drug discovery and development, which traditionally is a costly and difficult process. Having the right information available to you at every stage in the pipeline is vital to bring safe and effective therapies to the market. CD ComputaBio helps you simplify every stage of drug discovery and development with innovative software and validation solutions. On-demand, we provide concise tutorials on the fundamental concepts of pharmaceutical process development. We also share the most valuable educational content for all professionals and scholars. Manuals and tutorials with hands-on training are well organized. For all users browsing our website, free learning covering methods and applications of various computational techniques used in biopharmaceutical industries are also available.
Small-molecules bind to proteins within surface cavities. The prediction of these interactions is done through docking simulations. Structure-based virtual screening (molecular docking) has been used to discover new ligands based on target structures. Docking methods are widely applied and accepted nowadays in drug design. Two approaches are particularly popular within the molecular docking community. One […]
Computational modelling has gained an increasingly important role in biochemical and biomolecular sciences over the past decades. This is related to significant developments in terms of methodology and software, as well as the amazing technological advances in computational hardware, and fruitful connections across different disciplines. Virtual libraries of several million compounds searching for potential new […]
As the price of transcriptome sequencing drops, the number of samples to be sequenced is gradually increasing. WGCNA (weighted gene co-expression network analysis), an analysis method suitable for large samples, is used in diseases and other traits and genes. Correlation analysis and other aspects are more and more widely used. The biggest advantage of WGCNA […]
Molecular Dynamics (MD) is a computer simulation method that models the movements and interactions of atoms and molecules over time. It involves solving the classical equations of motion for each particle, and takes into account their mutual interactions, over a short time step, in order to obtain the time evolution of the system. The method […]
Computational Chemistry can have a major impact on all stages of the drug discovery process, whether it be providing small desktop tools to enable scientists to access information more easily, calculation of physicochemical properties, virtual screening, structure-based design, QSAR analysis of both the desired target but also off-target activities. Computer modeling can quite successfully compete […]
Introductions As we all know, the quality of graphs and charts plays an important role in a good paper, and the quality of graphs and charts in a paper often determines whether the paper will be accepted or not. Here, we will introduce several software commonly used in research papers, which we hope can help […]