Role of Bioinformatics Software in Clinical Research: How Technologies Changing the Future of Medical Research in 2025
Clinical research, a field of science aimed at ensuring the safety and effectiveness of medications, devices, diagnostic products, and treatment regimens in the human body. In current time, a variety of bioinformatics software and tools are available to predict the potential interactions, toxicities, and indications for clinical data management in clinical research organizations. Leading to development of a novel compound or a new medical treatment in the clinical research domain. This proves how technologies are changing current medical research and innovation in 2025.
In this blog you are going to explore various applications of bioinformatics software in drug discovery, and drug development in clinical data management and clinical research.
Why Bioinformatics software is Important
In clinical research, you may examine an already established treatment in an additional clinical context when seeking a new treatment modality. However, pharmaceutical companies currently have a conservative drug discovery process, which generally starts with the discovery of a new therapeutic target and then leads to developing a new compound that modifies the action of the target. The preclinical studies and clinical research in the clinical research organization is a laborious, costly, and risky process, taking more than 10years and costing millions to get a new compound for new treatment. Clearly a new efficient and innovative way to predict drug efficacy to boost drug development success. Bioinformatics is one of the applications of computational science in biology that can enhance drug discovery by utilizing efficient statistical algorithms for target identification, and target validation. Bioinformatics software and tools play an important role in this, they allow for rapidly creating databases, predictions regarding protein function, data mining, analyzing data, and then interpreting data and all of this is done in rapid fashion to ultimately save time and money in the drug discovery process.
Bioinformatics softwares used in Drug Development
Advances in bioinformatics have enabled genome analysis for a vast range of research fields related to clinical research and clinical data management. Bioinformatics software and technology allows researchers to analyze the complex data produced by the Human Genome Project. A successful and reliable drug design process could reduce the time and cost of developing useful pharmacological agents. This makes the clinical data management in a clinical research organization more precise and accurate.
The ability to discover novel therapeutic targets for further research is the first critical step in this process in clinical research organization. Till today it is reported that approximately 500 drug targets accounts are available for nearly all drugs currently on the market. Based on drug target interaction relationship, the selection of the drug target could be narrowed to the most competent drug target to a great extent with the help of different bioinformatics softwares as per the following methods:
Molecular docking
Molecular dynamics simulation
Proteomics
Target validation
Gene logic
Ribonucleic interference technology
Immusol
Lead identification/optimization
Bioinformatics Software and tools used in drug development in clinical research organizations:
Bioinformatics Software and Tools Used in Clinical Trials
Regulatory authorities in clinical research organizations require additional safety data monitoring that will need to collect, compile, and assess data for clinical data management. The availability of these softwares and the advancements in technology has drastically improved clinical trial methods for clinical data management and accuracy. Therefore, there is a demand for bioinformatics softwares and tools in clinical trials in clinical research organizations.
Additionally, technological developments need to address the demands of Big Data Management (BDM) from the perspectives of data storage, data sharing, and data analysis. These advanced technologies are resolving challenges related to data storage, while supporting specialized tools and facilities that are used to normalize and harmonize data. The massive variety of data can take various forms, such as structured data, unstructured data, and semi-structured data in health care as mentioned below:
- 📌 Unstructured data: It consists of electronic medical records, the handwritten notes of nurses and physicians, the records from hospital admissions and discharge letters, the actual paper prescriptions, the radiograph films with documents, and all the other imaging studies.
- 📌 Structured data: It is those data, that are easily stored and queried, recalled, analyzed, and manipulated via a machine; but, they may not easily readable by a human.
Advanced technologies and high-tech bioinformatics softwares helps to understand and facilitate a more efficient way of storing and extracting these medical records and follow-up data for future use, which can be helpful in future reference for clinical trials in clinical research organizations. One such technology is BDM technology, which facilitates a more efficient means of storing and extracting medical records. There are a handful of bioinformatics softwares for clinical trials:
🔧 e-Clinical
e-Clinical technologies are essential to facilitate clinical data analysis, and overall decision-making to the new drug/product. This software provides a cost cutting, broad applicability with functionally rich solutions to provide clinical data management for the clinical trial.
🗄️ Oracle Clinical & Oracle Remote Data Capture
Also known as relational database management system. Oracle is utilized to manage the database design and data acquisition for clinical study in a clinical research organization.
📥 Electronic Case Report Form (eCRF)
Electronic case report form is an electronic 'tool', where the clinical trial subject data is captured in an electronic format.
Bioinformatics Software Used for Drug Safety by Pharmaceutical Companies
- ⚕️ Argus: Oracle Argus is software for pharmacovigilance application which enables pharmaceutical companies to infer fast and better safety decisions during preclinical studies or clinical studies.
- ⚕️ ARISg: It is a leading platform for both pharmacovigilance and clinical safety systems.
Bioinformatics Software and Tools Created at NCTR
At National Center for Toxicological Research NCTR, scientists developed bioinformatics tools under bioinformatics capabilities across FDA Centers. These softwares and tools created at NCTR are developed for the analysis and integration of complex omics (genomics, transcriptomics, proteomics, and metabolomics) datasets. Which helps researchers or scientists to understand the advanced level of biological complexity in medical research in 2025.
- 🧬 Mold2: Software that generates molecular descriptors from two-dimensional structures.
- 🧪 ArrayTrack™ HCA-PCA Standalone Package: A powerful data-exploring tools
- 🧫 Estrogenic Activity Database (EADB): A component of the enhanced Endocrine Disruptors Knowledge Base (EDKB).
- 📄 FDALabel: An FDA Drug Labeling Search Tool-Tool to conduct full-text search of drug labeling.
- 🩺 Liver Toxicity Knowledge Base (LTKB): A predictive model to assess risk of drug-induced liver injury.
To understand more about: Multi-omics and single-cell omics in whole genome sequencing, read the full blog here in our Cliniwave healthcare programs website.
Conclusion
Clinical trials are the fundamental link between technological advancements with medical research and health care improvement. Clinical trials of a new drug are now extremely complicated, time-consuming, and expensive. The pharmaceutical industry is highly competitive and the demand for quick access to approval of a new drug is evolving rapidly. As a consequence, pharmaceutical companies will face increasing pressure to improve the efficiency and effectiveness of drug discovery. The use of technology initiatives is the only means to remedy this situation. Thus, bioinformatics software and tools help clinical trials to take place more precisely and accurately, leading to better outcomes. At Cliniwave healthcare programs, our expert trainers provide world class training on bioinformatics courses and clinical research courses.
If you are interested in clinical trial methodologies, software tools, hands-on practical experience, enroll for our P G Diploma in Bioinformatics training from Cliniwave healthcare programs.
Visit Cliniwave today and learn about clinical data management, clinical research organization, and preclinical studies during interactive classes from Cliniwave healthcare programs.
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