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Communities for Science

At Strand, we believe that the power of the web can be harnessed to bring together scientific communities for the benefit of all. We are also firm believers in giving back to the community that has contributed to our growth and success. Creating interactive communities of value to scientists and researchers is therefore a large part of our Corporate Social Responsibility (CSR) objectives.

QSARWorld.com and PathwayWorld.com offer scientists a network and collaborative atmosphere in which much stimulating discussion takes place. By sharing knowledge and learning from one another, researchers can enrich themselves and the community. QSARWorld and PathwayWorld are open resources accessible to the entire community and developed by Strand as a non-profit activity to improve the quality of research activities everywhere.

 

QSAR World
QSAR World is a non-profit online space resource dedicated to Quantitative Structure Activity Relationship (QSAR) modeling. It is an effort to build a vibrant and interactive community of QSAR professionals, researchers and students. Among the many useful features that QSAR World offers are learning resources, featured articles by QSAR professionals, a monthly newsletter covering research and discovery in this area and a calendar of related events.

 

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PathwayWorld
PathwayWorld is a non-profit online space dedicated to bringing together researchers exploring and analysing experimental data in the context of biological pathways. Among the many useful features that PathwayWorld offers are resources for learning, featured articles by professionals, a forum to interact with other professionals and students interested in this area and a calendar of events of interest to the community.

 

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Articles
  • Most often models built by scientists are characterized largely by the type and quality of data available.  For example, given permeability values across a membrane, one can either build a regression model to directly predict the value or build a classifier that predicts the value-bin a compound falls in (such as high or low). Conventionally, a model is considered good based on certain statistical metrics such as R2 or Q2 for regression models, or precision and recall for ...

  • -- Dr. Kalyanasundaram Subramanian
  • At every stage of the drug discovery pipeline, the application of QSAR is evidently beneficial, yet limited in its reliability in its current state. In this commentary, the various applications of QSAR are reviewed with respect to the drug discovery stages of compound library design, virtual screening, and lead optimization. The features required, performance expectations, and design constraints for an effective QSAR application vary significantly for each drug discovery s...

  • -- Mr.Thiru P. Reddy