AIMC Topic: Pharmaceutical Preparations

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Blood Brain Barrier Permeability Prediction Using Machine Learning Techniques: An Update.

Current pharmaceutical biotechnology
Blood Brain Barrier (BBB) is the collection of vessels of blood with special properties of permeability that allow a limited range of drug and compounds to pass through it. The BBB plays a vital role in maintaining balance between intracellular and e...

CDEK: Clinical Drug Experience Knowledgebase.

Database : the journal of biological databases and curation
The Clinical Drug Experience Knowledgebase (CDEK) is a database and web platform of active pharmaceutical ingredients with evidence of clinical testing as well as the organizations involved in their research and development. CDEK was curated by disam...

Using drug knowledgebase information to distinguish between look-alike-sound-alike drugs.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To extract drug indications from a commercial drug knowledgebase and determine to what extent drug indications can discriminate between look-alike-sound-alike (LASA) drugs.

Toward a normalized clinical drug knowledge base in China-applying the RxNorm model to Chinese clinical drugs.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: In recent years, electronic health record systems have been widely implemented in China, making clinical data available electronically. However, little effort has been devoted to making drug information exchangeable among these systems. Th...

SuperDRUG2: a one stop resource for approved/marketed drugs.

Nucleic acids research
Regular monitoring of drug regulatory agency web sites and similar resources for information on new drug approvals and changes to legal status of marketed drugs is impractical. It requires navigation through several resources to find complete informa...

Convolutional Neural Networks for ATC Classification.

Current pharmaceutical design
BACKGROUND: Anatomical Therapeutic Chemical (ATC) classification of unknown compound has raised high significance for both drug development and basic research. The ATC system is a multi-label classification system proposed by the World Health Organiz...

Machine Learning-Based Modeling of Drug Toxicity.

Methods in molecular biology (Clifton, N.J.)
Toxicity is an important reason for the failure of drug research and development (R&D). The traditional experimental testings for chemical toxicity profile are costly and time-consuming. Therefore, it is attractive to develop the effective and accura...

Prediction of Drug-Plasma Protein Binding Using Artificial Intelligence Based Algorithms.

Combinatorial chemistry & high throughput screening
AIM AND OBJECTIVE: Plasma protein binding (PPB) has vital importance in the characterization of drug distribution in the systemic circulation. Unfavorable PPB can pose a negative effect on clinical development of promising drug candidates. The drug d...

Promises of Machine Learning Approaches in Prediction of Absorption of Compounds.

Mini reviews in medicinal chemistry
The Machine Learning (ML) is one of the fastest developing techniques in the prediction and evaluation of important pharmacokinetic properties such as absorption, distribution, metabolism and excretion. The availability of a large number of robust va...

Some Remarks on Prediction of Drug-Target Interaction with Network Models.

Current topics in medicinal chemistry
System-level understanding of the relationships between drugs and targets is very important for enhancing drug research, especially for drug function repositioning. The experimental methods used to determine drug-target interactions are usually time-...