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  2. Crystal structure prediction - Wikipedia

    en.wikipedia.org/wiki/Crystal_structure_prediction

    Crystal structure prediction (CSP) is the calculation of the crystal structures of solids from first principles. Reliable methods of predicting the crystal structure of a compound, based only on its composition, has been a goal of the physical sciences since the 1950s. [ 1 ]

  3. List of protein subcellular localization prediction tools

    en.wikipedia.org/wiki/List_of_protein_sub...

    This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...

  4. List of protein structure prediction software - Wikipedia

    en.wikipedia.org/wiki/List_of_protein_structure...

    Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.

  5. Octopus (software) - Wikipedia

    en.wikipedia.org/wiki/Octopus_(software)

    Octopus is a software package for performing Kohn‍–‍Sham density functional theory (DFT) and time-dependent density functional theory (TDDFT) calculations. [ 1 ] Octopus employs pseudopotentials and real-space numerical grids to propagate the Kohn‍–‍Sham orbitals in real time under the influence of time-varying electromagnetic fields.

  6. List of protein secondary structure prediction programs

    en.wikipedia.org/wiki/List_of_protein_secondary...

    predict both 3-state and 8-state secondary structure using conditional neural fields from PSI-BLAST profiles: Webserver/downloadable: server download: 2011 GOR: Information theory/Bayesian inference: Many implementations: Basic GOR GOR V: 2002 (GOR V) Jpred: Multiple Neural network assignment from PSI-BLAST and HMMER profiles. Predicts ...

  7. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    Predictive analytics is a set of business intelligence (BI) technologies that uncovers relationships and patterns within large volumes of data that can be used to predict behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future. [ 3 ]

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