Search results
Results From The WOW.Com Content Network
The design of appropriate short or long primer pairs is only one goal of PCR product prediction. Other information provided by in silico PCR tools may include determining primer location, orientation, length of each amplicon, simulation of electrophoretic mobility, identification of open reading frames, and links to other web resources. [7] [8] [9]
Comprehensive life science modeling and simulation suite of applications focused on optimizing drug discovery process: small molecule simulations, QM-MM, pharmacophore modeling, QSAR, protein-ligand docking, protein homology modeling, sequence analysis, protein-protein docking, antibody modeling, etc.
Agarose Gel simulation. Online Database searching - Search public databases at the NCBI such as Genbank and UniProt. Online BLAST searches. Protein analysis including estimation of Molecular Weight, Extinction Coefficient and pI. PCR Primer design, including an interface to Primer3; 3D structure viewing via an interface to Jmol
List of free analog and digital electronic circuit simulators, available for Windows, macOS, Linux, and comparing against UC Berkeley SPICE.The following table is split into two groups based on whether it has a graphical visual interface or not.
A strip of eight PCR tubes, each containing a 100 μL reaction mixture Placing a strip of eight PCR tubes into a thermal cycler. The polymerase chain reaction (PCR) is a method widely used to make millions to billions of copies of a specific DNA sample rapidly, allowing scientists to amplify a very small sample of DNA (or a part of it) sufficiently to enable detailed study.
Schrödinger's software tools include molecular dynamics simulations, free energy calculations, quantum mechanics calculations, and virtual screening tools. The company also offers consulting services and collaborates with partners in the industry to advance the field of computational chemistry and drug discovery.
The development of MOOSE at Idaho National Laboratory (INL) since May 2008, has resulted in a unique approach to computational engineering that combines computer science with a strong underlying mathematical description in a unique way that allows scientists and engineers to develop engineering simulation tools in a fraction of the time previously required. [2]
Yorick is an interpreted programming language designed for numerics, graph plotting, and steering large scientific simulation codes. It is quite fast due to array syntax, and extensible via C or Fortran routines. It was created in 1996 by David H. Munro of Lawrence Livermore National Laboratory.