SEND Format Conversion

In recent years, China's pharmaceutical industry has developed rapidly. With the encouragement and support of national policies, the research and development of new and generic drugs in China has grown significantly. With this momentum of development, Medicilon’s pharmaceutical R&D has not only brought about earth-shaking changes to China’s pharmaceutical market, but has also received extensive attention from the global pharmaceutical market. In 2020, the number of drugs approved by the FDA reached 96 ANDAs, with a total of 81 active ingredients, coming from 26 Chinese pharmaceutical companies and their subsidiaries. Among them, 12 Chinese innovative drugs have obtained FDA breakthrough therapy designation or fast track designation.

Number of ANDA approved by FDA for Chinese pharmaceutical enterprises in recent 10 years

SEND, Standard for Exchange of Nonclinical Data, is the standard conversion of non-clinical trial data. The standard is defined and maintained by the SEND team of the Clinical Data Inter-change Standards Consortium (CDISC). It proposes and specifies how to collect data, what type of data to collect, and how to submit the data to the agency responsible for approving new drugs.

This standard aims to help the pharmacology and toxicology experts of the Center for Drug Evaluations and Research (CDER) to review new drug projects more efficiently, and to improve the information communication between the various departments of the US FDA and the pharmaceutical industry in the world. Starting from December 18, 2017, the US FDA requires that relevant toxicological tests applying for IND must use the SEND format.

SEND supports the format conversion of test data such as single and multiple-dose general toxicity test, safety pharmacology test and carcinogenicity test, in toxicology test.

The SEND format data is a huge data system. The experimental data of a six-month repeated dosing test in mice contains as many as 36,000 raw data.

There are mainly three file types in the SEND data set: .xpt, .xml and .pdf.

If the domain in the SEND dataset is compared to a tree, the .xml file is the trunk and the .pdf file is the branches and leaves.

SEND Data Set Structure

Good SEND data conversion requires at least one of the following aspects:

SEND Conversion Time Node

As a preclinical research and development platform with a global perspective, Medicilon closely follows the guidance requirements of FDA regulations to update and improve the strategy of preclinical research, registration and filing. Medicilon assists  hasdrug projects to obtain clinical approval from the FDA and promote the global new drug research and development process.

Medicilon’s pharmacology and toxicology research department is equipped with a professional SEND format conversion team. The team has established a comprehensive SEND data conversion platform in software, technology, specifications and quality to achieve accurate data conversion for electronic data submission. In 2020, Medicilons SEND team helped the clients to complete 14 SEND data conversion projects, of which 3 new drug projects have obtained clinical approval from the US FDA.