# Best Drug Discovery Software - Page 2

*By [Emma Stein](https://research.g2.com/insights/author/emma-stein)*


Drug discovery software is used to develop new pharmaceutical drugs and test whether a newly created drug will be effective in treating a particular disease. Drug discovery software automates and leverages innovative technology that significantly cuts down on the arduous process of drug development, testing, and going to market.

Most drug discovery solutions offer screening, predictive analytics, modeling, simulation, and computational capabilities. Those functionalities help with tasks such as image analysis and clinical trial results submission, as well as ensuring accurate reproducibility. Researchers and scientists use drug discovery software to gain market intelligence, take advantage of advancements in drug design and synthesis, tackle evolving and adapting diseases, and maintain and manage the integrity of data as drugs transition from the discovery phase to the clinical trial phase.

To qualify for inclusion in the Drug Discovery category, a product must:

- Support the processes and workflows of pharmaceutical drug researchers and scientists
- Aggregate and analyze disease, chemical, drug, and other types of stored data
- Extract insight from datasets 
- Integrate with third-party modeling and visualization tools







## How Many Drug Discovery Software Products Does G2 Track?
**Total Products under this Category:** 86

### Category Stats (Jul 2026)
- **Average Rating**: 4.42/5 (↑0.07 vs Jun 2026) The average rating of products in this category, based on all submitted ratings

*Last updated: July 16, 2026*


## How Does G2 Rank Drug Discovery Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 100+ Authentic Reviews
- 86+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.


## Which Drug Discovery Software Is Best for Your Use Case?

- **Best Free Software:** [CDD Vault](https://www.g2.com/products/cdd-vault/reviews)


---

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---

## What Are the Top-Rated Drug Discovery Software Products in 2026?
### 1. [Aurora Drug Discovery Software](https://www.g2.com/products/aurora-drug-discovery-software/reviews)
Aurora employs quantum mechanics, thermodynamics, and an advanced continuous water model for solvation effects to calculate ligand&#39;s binding affinities. This approach differs dramatically from scoring functions that are commonly used for binding affinity predictions. By including the entropy and aqueous electrostatic contributions in to the calculations directly, Aurora algorithms produce much more accurate and robust values of binding free energies.



**Who Is the Company Behind Aurora Drug Discovery Software?**

- **Seller:** [Aurora Fine Chemicals](https://www.g2.com/sellers/aurora-fine-chemicals)
- **Year Founded:** 1990
- **HQ Location:** San Diego, US
- **Twitter:** @AuroraChemicals (27 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/6671293 (3 employees on LinkedIn®)






### 2. [AutoChrom](https://www.g2.com/products/autochrom/reviews)
Method development software for the chromatography expert. AutoChrom helps experts develop chromatographic separations using QbD principles. It uses a workflow-based structure to streamline and track a project.



**Who Is the Company Behind AutoChrom?**

- **Seller:** [ACD/Labs](https://www.g2.com/sellers/acd-labs)
- **Year Founded:** 1994
- **HQ Location:** Toronto, Canada
- **Twitter:** @ACDLabs (1,035 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/18480 (197 employees on LinkedIn®)






### 3. [Basesoft PharmaSuite](https://www.g2.com/products/basesoft-pharmasuite/reviews)
The software that will help improve the safety, traceability, quality, agility and integration of your Pharmacotechnical and Drug Preparation Unit.



**Who Is the Company Behind Basesoft PharmaSuite?**

- **Seller:** [Basesoft](https://www.g2.com/sellers/basesoft)
- **Year Founded:** 2015
- **HQ Location:** Santiago de Compostela, ES
- **LinkedIn® Page:** http://www.linkedin.com/company/basesoft (2 employees on LinkedIn®)






### 4. [BIOVIA Discovery Studio](https://www.g2.com/products/biovia-discovery-studio/reviews)
Discovery Studio is BIOVIA&#39;s comprehensive predictive science application for the Life Sciences. BIOVIA Discovery Studio 2019 stands as BIOVIA&#39;s major release for predictive sciences and modeling and simulation in the life sciences



**Who Is the Company Behind BIOVIA Discovery Studio?**

- **Seller:** [Dassault Systemes](https://www.g2.com/sellers/dassault-systemes)
- **Year Founded:** 1981
- **HQ Location:** Velizy-Villacoublay
- **Twitter:** @Dassault3DS (74,082 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3896/ (27,414 employees on LinkedIn®)
- **Ownership:** EPA: DSY.PA






### 5. [CCG Computer-Aided Molecular Design](https://www.g2.com/products/ccg-computer-aided-molecular-design/reviews)
CCG is a leading developer and provider of Molecular Modeling, Simulations and Machine Learning software to Pharmaceutical and Biotechnology companies as well as Academic institutions throughout the world. CCG continuously develops new technologies with its team of mathematicians, scientists and software engineers and through scientific collaborations with customers.



**Who Is the Company Behind CCG Computer-Aided Molecular Design?**

- **Seller:** [Chemical Computing Group](https://www.g2.com/sellers/chemical-computing-group)
- **Year Founded:** 1994
- **HQ Location:** Montreal, CA
- **Twitter:** @CCG_MOE (1,441 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/chemical-computing-group/ (61 employees on LinkedIn®)






### 6. [Certara Clinical Trial Outcomes Databases](https://www.g2.com/products/certara-clinical-trial-outcomes-databases/reviews)
Clinical Trial Outcomes Databases form a quantitative framework to leverage valuable external data, providing key development insights to maximize the probability of success for a new drug. Clinical Trial Outcomes Databases, accessed through our online interactive CODEx interface, provide comprehensive and up-to-date data on major therapeutic areas.



**Who Is the Company Behind Certara Clinical Trial Outcomes Databases?**

- **Seller:** [Certara](https://www.g2.com/sellers/certara)
- **HQ Location:** Radnor, US
- **Twitter:** @Certara (1,687 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/certara (1,395 employees on LinkedIn®)
- **Ownership:** NASDAQ: CERT






### 7. [Character Biosciences](https://www.g2.com/products/character-biosciences/reviews)
Character Biosciences is a platform that merges genomics with clinical data and AI technology, focusing on patients affected by AMD.



**Who Is the Company Behind Character Biosciences?**

- **Seller:** [Character Biosciences](https://www.g2.com/sellers/character-biosciences)
- **Year Founded:** 2019
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/character-biosciences/ (51 employees on LinkedIn®)






### 8. [Chemia](https://www.g2.com/products/chemia/reviews)
Chemia is a cost effective, compliant and turnkey Electronic Lab Notebook, used in API, Formulation and Analytical Labs, during the Drug Discovery and Development process.


**Average Rating:** 4.5/5.0
**Total Reviews:** 1

**Who Is the Company Behind Chemia?**

- **Seller:** [Laurus Infosystems](https://www.g2.com/sellers/laurus-infosystems)
- **Year Founded:** 1997
- **HQ Location:** Bangalore, IN
- **Twitter:** @Laurus_Infosys (5 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/chemiasoft/ (85 employees on LinkedIn®)

**Who Uses This Product?**
- **Company Size:** 100% Enterprise



#### What Are Recent G2 Reviews of Chemia?

**"[Chemia for day to day laboratory Activity](https://www.g2.com/survey_responses/chemia-review-3601850)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Pharmaceuticals*

[Read full review](https://www.g2.com/survey_responses/chemia-review-3601850)

---

**"[Excellent user-friendly tool for electronic lab note book (ELNB) and submitting analytical request](https://www.g2.com/survey_responses/chemia-review-3559379)"**

**Rating:** 4.5/5.0 stars
*— Verified User in Pharmaceuticals*

[Read full review](https://www.g2.com/survey_responses/chemia-review-3559379)

---


#### What Are G2 Users Discussing About Chemia?

- [What is Chemia used for?](https://www.g2.com/discussions/what-is-chemia-used-for)

### 9. [Chemical](https://www.g2.com/products/chemical/reviews)
Founded in 2007, Patsnap is the global leader in AI-powered intellectual property (IP) and research and development (R&amp;D) intelligence. We empower professionals in these fields by providing insightful answers that facilitate faster and more confident decision-making. Our domain-specific large language model (LLM), trained on a vast collection of proprietary innovation data, works in conjunction with Hiro, our AI assistant, to deliver actionable insights. These tools enhance productivity by 75% and reduce R&amp;D waste by 25%, streamlining your innovation and commercialization processes. Utilizing advanced Named Entity Recognition (NER), Natural Language Processing (NLP), and Optical Chemical Structure Recognition (OCSR) technologies, Chemical by Patsnap’s comprehensive database consists of over 290 million chemical structures extracted from both patent and non-patent sources, offering unparalleled compound’s structure-patent relationship insights – and is the leading provider for IP and R&amp;D team in the chemical, pharmaceutical, agricultural and other relevant sectors. Key Features: - Chemical by Patsnap is the industry-leading SaaS solution tailored for IP and R&amp;D teams within the life science industry, offering key functionalities such as: - AI-Powered Search: Transform weeks of work into minutes using cutting-edge AI tools designed to navigate the complexities of structure and image retrieval, and automate chemical IP analysis with unmatched precision. - Risk-Proof Innovations: Retrieve all synonyms for chemical structures in a single search and connect them to patents, literature, and clinical data for thorough freedom-to-operate (FTO), novelty, and business analysis. - Fuel Collaboration: Enable your R&amp;D and IP teams to effortlessly share data and expedite compound development through collaborative workspaces and visual reports. - Stay Ahead of Competitors: Visualize and monitor competitor activities globally with an in-depth view of the chemical landscape, allowing you to identify market disruptors, recognize whitespace opportunities, and uncover litigation hotspots.



**Who Is the Company Behind Chemical?**

- **Seller:** [Patsnap](https://www.g2.com/sellers/patsnap)
- **Year Founded:** 2007
- **HQ Location:** Singapore, SG
- **Twitter:** @PatSnap (1,738 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/patsnap/ (563 employees on LinkedIn®)






### 10. [Compound Assist](https://www.g2.com/products/compound-assist/reviews)
Compound Assist is much more than a &quot;Cookbook&quot; of formulas. It&#39;s a complete business package, from inventory control and ordering support to a print utility that generates machine-scannable bar codes for compounding medications.



**Who Is the Company Behind Compound Assist?**

- **Seller:** [RS Software](https://www.g2.com/sellers/rs-software)
- **Year Founded:** 1999
- **HQ Location:** Norman, US
- **Twitter:** @RSSoftwareLLC (26 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/rs-software-llc (9 employees on LinkedIn®)






### 11. [CovaSyn](https://www.g2.com/products/covasyn/reviews)
CovaSyn is a Model Context Protocol (MCP) platform that gives AI agents real chemistry, pharma, and biotech capability. Instead of switching between ChemDraw, Excel, PubChem, and specialist desktop tools, scientists ask their AI assistant directly, and CovaSyn runs the right tool in the background and returns a result ready to use. The platform provides 199 deterministic tools across 17 suites spanning four workflows: research and discovery (ADMET, druglikeness, protein folding, molecular design); formulation and process development (solubility, crystallization, Arrhenius shelf-life, design of experiments and response-surface optimisation); compliance and safety (ICH M7 mutagenicity, Tox21, ADMET and structural-alert screening); and analytical interpretation (NMR, mass spectrometry, IR, and UV/Vis identification, purity, and impurity profiling). Because the tools are deterministic rather than generative, results are reproducible and auditable: a requirement for regulated pharma and chemistry work. In an independent, peer-reviewed benchmark (MolecularIQ, Klambauer Lab at JKU Linz, ICLR 2026), leading LLMs answered chemistry tasks correctly only 14–41% of the time on their own, and 76–92% when connected to CovaSyn. CovaSyn integrates with Claude, ChatGPT, Cursor, and GitHub Copilot through a single MCP endpoint and API key, is GDPR-ready, and offers a free tier (100 credits per week, no credit card) so teams can evaluate it immediately.



**Who Is the Company Behind CovaSyn?**

- **Seller:** [CovaSyn](https://www.g2.com/sellers/covasyn)
- **Year Founded:** 2025
- **HQ Location:** Leipzig, DE
- **LinkedIn® Page:** https://www.linkedin.com/company/covasyn (2 employees on LinkedIn®)






### 12. [Curi Bio](https://www.g2.com/products/curi-bio/reviews)
Curi Bio integrates human stem cells, systems, and AI-enabled data analytics for the development of new therapeutics.



**Who Is the Company Behind Curi Bio?**

- **Seller:** [Curi Bio](https://www.g2.com/sellers/curi-bio)
- **Year Founded:** 2015
- **HQ Location:** Seattle, US
- **LinkedIn® Page:** https://www.linkedin.com/company/curibio (62 employees on LinkedIn®)






### 13. [DeepCure](https://www.g2.com/products/deepcure/reviews)
DeepCure is a biotechnology company specializing in the development of small molecule therapeutics for immune diseases. Their pipeline includes oral treatments targeting conditions such as rheumatoid arthritis, Still&#39;s disease, hidradenitis suppurativa, asthma, and atopic dermatitis. By focusing on innovative drug discovery, DeepCure aims to provide effective solutions for patients suffering from these autoimmune and inflammatory disorders.



**Who Is the Company Behind DeepCure?**

- **Seller:** [DeepCure](https://www.g2.com/sellers/deepcure)
- **Year Founded:** 2018
- **HQ Location:** Boston, US
- **LinkedIn® Page:** https://www.linkedin.com/company/deepcure (33 employees on LinkedIn®)






### 14. [DNAnexus Apollo](https://www.g2.com/products/dnanexus-apollo/reviews)
DNAnexus Apollo™ accelerates precision drug discovery by unlocking the power of collaboration to draw critical insights from omics data.



**Who Is the Company Behind DNAnexus Apollo?**

- **Seller:** [DNAnexus](https://www.g2.com/sellers/dnanexus)
- **Year Founded:** 2009
- **HQ Location:** Mountain View, US
- **Twitter:** @dnanexus (7,929 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/dnanexus (284 employees on LinkedIn®)






### 15. [Elucidata](https://www.g2.com/products/elucidata/reviews)
Harness the power of data for asset discovery using our AI-enabled cloud platform



**Who Is the Company Behind Elucidata?**

- **Seller:** [Elucidata](https://www.g2.com/sellers/elucidata)
- **Year Founded:** 2015
- **HQ Location:** San Francisco, US
- **LinkedIn® Page:** https://www.linkedin.com/company/elucidata-corporation/ (167 employees on LinkedIn®)






### 16. [Eversana](https://www.g2.com/products/eversana/reviews)
PriceRight is a pricing optimization software that helps users to manage to price throughout product life cycles and enables global market access.



**Who Is the Company Behind Eversana?**

- **Seller:** [Alliance Life Sciences](https://www.g2.com/sellers/alliance-life-sciences)
- **HQ Location:** Chicago, Illinois, United States
- **LinkedIn® Page:** https://www.linkedin.com/company/eversana/ (4,648 employees on LinkedIn®)






### 17. [FCS Express](https://www.g2.com/products/fcs-express/reviews)
FCS Express works hard to turn your flow cytometry data into results, so you don&#39;t have to. FCS Express can rapidly analyze vast amounts of data, with industry leading flow cytometry tools, but we recognize that is only the beginning of the scientific journey.



**Who Is the Company Behind FCS Express?**

- **Seller:** [De Novo Software](https://www.g2.com/sellers/de-novo-software)
- **HQ Location:** Pasadena, US
- **LinkedIn® Page:** https://linkedin.com/company/de-novo-software (25 employees on LinkedIn®)






### 18. [Gen1E Lifesciences](https://www.g2.com/products/gen1e-lifesciences/reviews)
GEn1E is a clinical-stage multi-target AI platform. They develop novel, next-gen, immunomodulators for rare &amp; inflammatory diseases.



**Who Is the Company Behind Gen1E Lifesciences?**

- **Seller:** [Gen1E Lifesciences](https://www.g2.com/sellers/gen1e-lifesciences)
- **Year Founded:** 2019
- **HQ Location:** Palo Alto, US
- **LinkedIn® Page:** https://www.linkedin.com/company/gen1e-lifesciences (16 employees on LinkedIn®)






### 19. [Genedata Imagence](https://www.g2.com/products/genedata-imagence/reviews)
Automates time consuming and repetitive tasks during image analysis set-up. Increases reproducibility and detects complex phenotypes by eliminating the biased selection of handcrafted features. Saves time by quickly being re-applied in different experimental settings. Seamlessly integrates with Genedata Screener for image data analysis.



**Who Is the Company Behind Genedata Imagence?**

- **Seller:** [Genedata AG](https://www.g2.com/sellers/genedata-ag)
- **Year Founded:** 1997
- **HQ Location:** Basel, Basel, Switzerland
- **Twitter:** @Genedata (491 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/genedata (395 employees on LinkedIn®)






### 20. [Halo](https://www.g2.com/products/synthego-halo/reviews)
CRISPR Accelerates Drug Discovery From Target ID Through Preclinical Development



**Who Is the Company Behind Halo?**

- **Seller:** [SYNTHEGO](https://www.g2.com/sellers/synthego)
- **Year Founded:** 2012
- **HQ Location:** Menlo Park, US
- **Twitter:** @Synthego (6,280 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/synthego-corporation/ (166 employees on LinkedIn®)






### 21. [healx Healnet](https://www.g2.com/products/healx-healnet/reviews)
Healnet enables highly parallel and large-scale rare disease drug discovery, significantly reducing time, cost and risk.



**Who Is the Company Behind healx Healnet?**

- **Seller:** [healx Healnet](https://www.g2.com/sellers/healx-healnet)
- **Year Founded:** 2014
- **HQ Location:** Cambridge, GB
- **Twitter:** @healx (2,671 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/healx/ (69 employees on LinkedIn®)






### 22. [Insilico](https://www.g2.com/products/insilico/reviews)
We are a globally leading end-to-end generative AI-driven biotech company in terms of AIDD pipeline progress, with a mission to accelerate drug discovery and development by leveraging our rapidly evolving, proprietary Pharma.AI platform across biology, chemistry and clinical development. Our generative AI platform helps us to rapidly and efficiently advance our fully self-generated AIDD pipeline primarily composed of novel drug candidates.



**Who Is the Company Behind Insilico?**

- **Seller:** [Insilico](https://www.g2.com/sellers/insilico)
- **Year Founded:** 2014
- **HQ Location:** Boston, US
- **LinkedIn® Page:** https://www.linkedin.com/company/in-silico-medicine-inc (281 employees on LinkedIn®)






### 23. [InSilicoTrials](https://www.g2.com/products/insilicotrials/reviews)
InSilicoTrials works with Pharma &amp; Medical Devices companies to create a secure cloud-based computational hub in an easy &amp; cheap way



**Who Is the Company Behind InSilicoTrials?**

- **Seller:** [InSilicoTrials](https://www.g2.com/sellers/insilicotrials)
- **Year Founded:** 2016
- **HQ Location:** Wilmington, US
- **LinkedIn® Page:** http://www.linkedin.com/company/insilicotrials (36 employees on LinkedIn®)






### 24. [iStability LIMS](https://www.g2.com/products/istability-lims/reviews)
iStability LIMS is a turn-key Laboratory Information Management System (LIMS) tailored to pharmaceutical stability testing programs and stability management. It can be installed at your site and be up and running in less than a day.



**Who Is the Company Behind iStability LIMS?**

- **Seller:** [ScienTek Software](https://www.g2.com/sellers/scientek-software)
- **HQ Location:** Orange County, CA
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)






### 25. [iTraX](https://www.g2.com/products/itrax/reviews)
iTraX enables smarter R&amp;D workflow management for pharma, biotech, and CROs. The cloud-based platform helps connect R&amp;D teams and improves visibility, efficiencies and productivity within complex scientific workflows. iTraX is configurable and is built to integrate to other informatics tools in order to simplify operations and replace disconnected processes. Our solutions span across chemistry, analytical chemistry, preclinical study management and scheduling, as well as other R&amp;D applications.



**Who Is the Company Behind iTraX?**

- **Seller:** [Elixir Software](https://www.g2.com/sellers/elixir-software)
- **Year Founded:** 2012
- **HQ Location:** Macclesfield, GB
- **LinkedIn® Page:** https://www.linkedin.com/company/2763313 (23 employees on LinkedIn®)







## What Is Drug Discovery Software?

[Life Sciences Software](https://www.g2.com/categories/life-sciences)



---

## How Do You Choose the Right Drug Discovery Software?

### What You Should Know About Drug Discovery Software

### What is Drug Discovery Software?

Over time, the pharmaceutical and biotechnology world has leveraged electronic data capture (EDC) and laboratory information management solutions to support their research and development efforts. It only makes sense that technology has evolved to provide the same type of process automation, data management, and other kinds of assistance to the drug development lifecycle.

Drug discovery software ensures that all calculations, determinations, and trials are thoroughly completed , without human error, and without potential bias. Drug discovery software also helps researchers, chemists, and scientists scale their efforts via process standardization, storage and duplication of data, accurate candidate identification, and alignment with risk and compliance measures. Drug discovery software significantly cuts down on the time, energy, and resources previously spent in developing new drugs. Drug discovery software makes it possible for scientists to positively impact the management of rising chronic diseases.

Key Benefits of Drug Discovery Software

- Ensures reproducibility of results
- Cuts down on image analysis times
- Increases the quality, relevance, and impact of aggregated data
- Helps pharmaceutical companies to remain competitive in the drug market

### Why Use Drug Discovery Software?

The drug development process has historically been complex, expensive, and time-consuming. That’s not including all the quality management and regulatory aspects that newly developed drugs have to undergo to get to market. Drug discovery software leverages existing technology, for both the benefit of pharmaceutical companies that can make a profit off new drugs and for patients who can now have access to drugs that had not previously existed.

R&amp;D productivity is significantly improved with drug discovery software. Automation is crucial to speeding up the drug development process but it also reduces the margin of human error via machine learning, simulations, and data-mining technology. Additionally, drug discovery software stops researchers from leaning so heavily on chemistry alone. Researchers can now take advantage of all the existing drug, assay, molecular, and protein information out there.

**Time saved —** Technologies and methods like machine learning services and artificial intelligence help scientists parse through massive data sets, which enables the rapid development and launch of new drugs to market. Instead of relying on chemistry alone to approve or deny drug development, scientists and labs can use computers and other computational methods to analyze and generate insight about the drug in development.

**Automation —** Tasks like high-content screening (HCS)—which automates the process to identify the kinds of target cells and ways substances can alter them—and high-throughput screening (HTS)—which sorts through existing compounds to narrow down the number of new drug candidates—used to be incredibly labor-intensive. The time that scientists had to spend waiting for the systems to search through existing drugs to find potential candidates used to be weeks, if not months. With automation, that time is reduced to mere hours. That means that R&amp;D teams can focus more on tweaking and adapting drugs instead of waiting in limbo for approval.

### Who Uses Drug Discovery Software?

Drug discovery software fulfills one particular need: automate (and thereby streamline and speed up) the drug development lifecycle. Accordingly, there is a very specific user demographic of drug discovery software:

**R&amp;D scientists —** Researchers and scientists who work in the pharmaceutical industry and biotechnology laboratories rely on drug discovery software to become more productive, automate time-consuming tasks, and keep track of the work they have done so far in the lab.

**Clinical trial organizers, managers, analysts —** The near-final step of drug discovery is running it through clinical trials. While clinical trial organizers can rely on CTMS to take care of actual trial intricacies, they can depend on drug discovery software to reduce the time spent on screening for drug candidates.

### Drug Discovery Software Features

Drug discovery solutions are constantly coming up with new and improved features, but the following features are fairly typical and standard across the board:

**Prediction —** Automated, predictive formulaic calculations that generate data, identify potential targets, determine interaction and activity predictions, and identify potential defects of developing drugs help speed up the drug discovery process.

**Virtual screening —** Scans and searches through libraries of chemical compounds and molecular structures against drug targets. Some virtual screening modules can be configured to select particular compounds. Virtual screening accelerates the drug discovery process by significantly reducing the potential cost to analyze, detect, and analyze the developing drug’s molecular dynamics and protein ligand structural components.

**Docking —** Predicts the binding affinity between two molecules, which is used during the drug design process. Additionally, regular molecular docking assessments are required for the product’s docking functionality to be as effective and accurate as possible.

**Workflow management —** Efficient and comprehensive workflow tools can speed up pharmaceutical process development. Workflow management features can include better data and information exchange, process standardization, and automation of IT processes.

### Trends Related to Drug Discovery Software

The drug discovery market rises and falls based on levels of chronic diseases, demand for drugs, and advancements in the field of biotechnology. Additionally, expiration of patents, inevitable pathogen resistance, fierce competition between drug manufacturers, and the evolving ability of technology to treat previously untreatable diseases, all lead to the growth of drug discovery solutions.

**Precision medicine —** Data powers precision medicine tactics, with the ultimate goal of leveraging a more holistic view of the individual patient. Precision medicine can bring about bettered targeted therapies because it does away with generalized demographics. Better personalized medicine and therapies also provide scientists with more data that they can use to refine their R&amp;D efforts and fine-tune candidates for any clinical trials.

**Artificial intelligence —** Artificial intelligence (AI) accelerates the discovery and development of new drugs. AI has the power to improve drug affinity predictions, which closes the gap between drug development and inconclusive clinical trial results. The application of AI to the drug discovery process also has the potential to drastically reduce the cost of development.

**Deep learning —** Deep learning technology goes one step further than AI to be able to more effectively process all the information needed to conduct scientific research. Scientists can leverage deep learning to scan through and analyze the thousands of publications and drug databases that must be parsed during the drug development stage, especially during targeting.

### Potential Issues with Drug Discovery Software

**Scale —** Many of the technological innovations and discoveries that have been presented and discussed as positively impacting the drug discovery industry haven’t yet been implemented on a large scale. This poses a few problems, including unknown regulation complications and duplication problems.

**Data management —** Researchers and scientists may become overwhelmed by the sheer amount of data that can be generated once drug discovery processes are automated. While more data equals more context and use cases to refer to, more data also requires effective data management and analysis solutions for scientists to leverage the data.

### Software and Services Related to Drug Discovery Software

[**Clinical trial management**](https://www.g2.com/categories/clinical-trial-management) **—** In order for drugs to get to market, they must undergo and pass clinical trials so that they obtain approval from federal governmental bodies. Clinical trial management software is used by pharmaceutical companies to QA the drugs, track the results of the clinical trials, and manage trial participants.

[**Quality management**](https://www.g2.com/categories/quality-management-qms) **—** Health care-specific quality management software (QMS) helps pharmaceutical companies and regulatory bodies inspect, document, and report on newly developed drugs. By the time new drugs make it to the quality management stage, they’ve usually passed the clinical trial stage, so separate software is required to make sure nothing falls through the gaps before drugs are brought to market.

[**CRM in pharma and biotech**](https://www.g2.com/categories/crm-in-pharma-and-biotech) **—** Between clinical trial volunteers and participants to manage, clinical researchers and experts to consult, and pharmaceutical reps to create relationships with, some sort of contact or chemical database needs to be created, maintained, and consulted. This is where CRM in pharma and biotech software comes into play.

[**Disease management**](https://www.g2.com/categories/disease-management) **—** Disease management software can be used as a reference point for any pharmaceutical company or drug developer before the drug discovery process gets underway. Disease management software maintains and monitors ongoing health conditions via data pulled from aggregate sources, an invaluable resource for those who want to bring an entirely new drug to market and beat out the competition.




