The phrase "addiction profile" is correct and usable in written English.
It can be used in contexts related to psychology, healthcare, or substance use, typically referring to a detailed description of an individual's patterns of addiction.
Example: "The therapist created an addiction profile to better understand the patient's substance use history and triggers."
Alternatives: "substance use profile" or "dependency profile".
The Maudsley Addiction Profile (MAP) [ 24] is a self-report measurement that assesses current substance use related problem behaviours.
To investigate whether the target addiction scoring can also reveal co-addiction relationships between drug targets, we correlated the addiction profile of FLT3-ITD with all of the other kinase targets across the 151 leukemia patient samples.
Frequency and type of substance use over the past month were recorded using the Maudsley Addiction Profile (MAP) [ 24], a structured interview which inquires about a wide range of substances and the number of days used in the past month, the amount used on a typical day, and the route of administration.
We will also examine variants common to all addictive behaviors, and attempt to identify those that might be specific to homogeneous addiction profiles.
Addressing the unique addiction profiles of different states, cities and among different demographics is something that keeps Campbell up at night.
The short version of the Obsessive Compulsive Drug Use Scale (OCDUS) is used to measure cocaine craving [ 58- 60], the Maudsley Addiction Profile-Health Symptoms Scale (MAP-HSS) [ 61] to assess physical status, and the Symptom Checklist-90 (SCL-90) [ 62] to identify psychological problems.
Likewise, the target addiction profiles can be compared across several cancer subtypes, or against controls when available, to estimate the cancer-specific or subtype-selective addiction patterns.
In contrast, the cell line clustering based on the target addiction profiles was effectively independent of the tissue type (Fig. 2B; supplementary material Fig. S1).
We first derived unsupervised molecular and functional classifications of the 107 cancer cell lines based on their transcriptional, drug response and target addiction profiles.
This demonstrates that the functional target addiction profiling provides complementary information, when compared with the genomics-only-based profiling of cancer cells, which has not yet fulfilled its promises in providing clinically actionable therapeutic strategies for many cancer types.
We used the cosangle distance method and Ward's linkage algorithm to cluster the cell lines based on their drug response profiles, such as DSS, AUC, pIC50 and the corresponding target addiction profiles.
