Colorado Computational, LLC is an expert consulting service for industrial and academic partners, providing resources in: Computational Chemistry Molecular Modeling Cheminformatics Bioinformatics Machine Learning Statistical Modeling/AnalysisServices offered include:Molecular Modeling, Computational Chemistry, & Cheminformatics: Molecular docking, small molecule database searching, pharmacophore modeling, QSAR modeling, ADME/Tox modeling, computer-aided drug design, scaffold hopping, SAR analysis, cheminformatic tools development, molecular dynamics, modeling software recommendations and guidance for early stage groups.Bioinformatics: Proteomics data analysis, transcriptomic data analysis, DNA sequence analysis, pathway analysis.Machine Learning, Statistical Modeling, Data Science, : Statistical data analysis, custom solutions in R and Python, experimental design.

Leading research efforts in Artificial Intelligence and Machine Learning as applied primarily to proteomics for prediction of health- and disease-related endpoints.

Bioinformatics data analysis, genomic sequencing data pipeline development, statistical and probabilistic modeling of genome sequencing data, development of data visualizations to illustrate complex analytic results.

Bioinformatics data analysis, machine learning, statistical learning, biomarker discovery, pathway analysis. Provide guidance to clients on statistical analysis of proteomic data sets, experimental design, and integration of data from disparate sources.Experience managing, reviewing, and coordinating activities across departments for a team of 10+ data analysts and managers of analytical groups.

Pharmaceutical drug design and discovery using structure-based drug design, protein modeling, small molecule design, statistical modeling, machine learning, clinical biomarker data analysis. Activities within the domains of Computational Chemistry, Cheminformatics, Molecular Modeling, Bioinformatics. Custom software development to solve problems in these domains using techniques from data mining, data visualization, artificial intelligence.

Structure-based drug design, small molecule design, data analysis, and software development within a pharma setting.

Research in molecular modeling, consulting in protein design, protein modeling, and computational chemistry software development.