This score makes an assumption that the compounds with the opposite effect on gene expression as compared to the available data can ultimately neutralize the effect of the disease both at the molecular and phenotypic levels. Disease differential expression is compared with the profiles of various exposures to chemical perturbations from the LINCS project. Substances with the most opposite effect compared to observed gene expression changes in the disease receive the highest score.

This score makes an assumption that the compounds with the opposite effect on pathway activation as compared to the observed changes in disease, can ultimately neutralize the effect of the latter. This is a modified version of the 'Interactome community' score, with the comparison done at the level of activated metabolic pathways rather than the changes in gene expression. The data on cell expression alterations due to compound/drug exposure is obtained from the LINCS project, while the iPANDA algorithm is applied to quantify pathway activation.

This is the MetaScore from the TargetID page. The MetaScore for the associated gene is calculated for every compound. The maximum score for the related genes is used as the total score of the compound.

The attention score measures the overall attention to a drug. PandaOmics calculates the total number of drug mentions in various texts the whole time. Both disease-agnostic and disease-specific mentions are counted. The text corpus used for analysis includes scientific publications, grants, patents, and clinical trials.

The trend score estimates the growth of disease-specific research attention to the given compound, during the last 5-year period. It ranges from -1 to 1 with negative values corresponding to the decline in publication activity. The exact trend value of a compound is available on the dedicated page.

This score is calculated as the weighted average of the Trend and Attention scores. Higher values indicate both attention growth and a high volume of research.

This score measures the average sum of grant funding to investigate the given compound. The average grant size reflects the scientific community's opinion on the fruitfulness of the research around the particular compound. Entries with zero publications and non-zero funding are scored as zero.

Total grant funding to investigate the given compound at all times.

Average grant size for a given compound-disease association. The total grant funding is divided by the total amount of grants.

This score represents the total number of publications devoted to the given compound in journals with an impact factor exceeding 10. This corresponds to the top 3% of all scientific journals.

This score measures the average Hirsch index of the researchers who published scientific articles that cover compound-disease association.

This score measures the average impact factor of the journals where the given compound-disease association is published. The Impact Factor of each journal is weighted to the number of publications mentioning compound-disease association published in this journal.