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What is Reaxys?

Reaxys, a digital platform developed by Elsevier, offers an extensive array of information related to chemical substances and data extracted from various published scholarly works, including both journals and patents. This resource simplifies the process of finding information on chemical compounds, reactions, and properties, as well as bibliographic and substance data, which encompasses guidance for synthesis planning and experimental techniques based on a carefully curated selection of literature. Launched in 2009 as a modern substitute for the CrossFire databases, Reaxys was designed to equip research chemists with both current and historical perspectives on organic, inorganic, and organometallic chemistry while providing a user-friendly experience. Covering more than two hundred years of chemical research, it compiles data from thousands of journal articles, books, and patents, ensuring it serves as a thorough resource. The emphasis on information derived from specific journals and chemistry patents is evident, as it prioritizes entries featuring a chemical structure, validated by experimental data, and backed by trustworthy citations, thereby enhancing the overall reliability of the information presented. Moreover, Reaxys is committed to continuous improvement, adapting to the evolving demands of researchers in the dynamic field of chemical science, ensuring that it remains relevant and useful for years to come. With its vast repository, Reaxys not only supports current research efforts but also contributes to the ongoing education of chemists worldwide.

What is GPT-Rosalind?

GPT-Rosalind is a cutting-edge reasoning model developed by OpenAI, specifically designed to advance scientific research in areas such as biology, drug development, and translational medicine. It is customized for life sciences workflows and aids researchers in navigating vast amounts of literature, experimental data, and specialized databases to generate and evaluate novel ideas. By combining a deep knowledge of fields like chemistry, genomics, protein engineering, and disease biology with advanced tool utilization capabilities, it proficiently engages with scientific databases, analyzes experimental outcomes, and supports complex, multi-step reasoning processes. Its features include synthesizing evidence, forming hypotheses, evaluating literature, analyzing sequences, and designing experiments, which collectively empower scientists to expedite the journey from raw data to significant insights. In addition, GPT-Rosalind transforms labor-intensive, lengthy research techniques into efficient, AI-enhanced workflows, leading to a more effective scientific landscape. This model not only exemplifies the integration of artificial intelligence with scientific research but also serves as a catalyst for transformative discoveries, ultimately shaping the future of scientific inquiry. Moreover, its ability to adapt to various research needs ensures that it remains a vital tool for scientists across diverse disciplines.

Media

Media

Integrations Supported

Integrations Supported

ChatGPT
Codex CLI
OpenAI

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Elsevier

Date Founded

1880

Company Location

Netherlands

Company Website

www.elsevier.com/products/reaxys

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com/index/introducing-gpt-rosalind/

Categories and Features

Chemical

Not specified

Categories and Features

AI Models

Not specified

AI Science

Not specified

Drug Discovery

Not specified

Healthcare AI

Not specified

Life Sciences

Not specified

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