A brief description of the Chemical Rediscovery Survey and Open Chemistry in the Bradley Lab at Drexel University

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Published on March 6, 2014

Author: jcbradley

Source: slideshare.net

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Jean-Claude Bradley provides examples of how detailed monitoring of chemical mixing can be advantageous for new discoveries and Green Chemistry. The role of openness to successfully accomplish this goal is also discussed.

The Chemical Rediscovery Survey and the role of Openness in Chemistry Research Mini-Symposia Drexel University Department of Chemistry Jean-Claude Bradley Associate Professor of Chemistry Drexel University March 6, 2014

Forms of Openness in Science 1. Open Access Peer-Reviewed Publication 2. Informal Discussions 3. Open Source Software 4. Open Datasets and Models 5. Open Notebook Science 6. Open Research Proposals

Top 5 questions in chemistry according to Scientific American (Nov 5, 2013) 1. Can we unravel the puzzle of life’s origins? 2. Can we ever beat photosynthesis? 3. How do we make chemistry environmentally friendly? 4. Can we design the perfect drug? 5. How do we sell chemistry to the public?

The current paradigm of doing and sharing science in chemistry 1. Design experiments based on established or potentially new theories. 2. Execute and record experimental outcomes in private notebooks. 3. When a sufficient narrative emerges selective experimental data are combined to publish, with a limited amount of “supplementary supporting data”

What kind of (chemical) worldview has this approach created? 1. Selective bias towards which experiment are even attempted. 2. Overconfidence in our understanding since deviant or ambiguous results are rarely reported.

Filling in the blind spots with the Chemical Rediscovery Survey (chemrs.wikispaces.com) 1. 2. 3. 4. Randomize the mixture of chemicals with certain criteria* Identify “what happens” after convenient* periods of time. Follow up on unexpected behavior with the traditional scientific method. Openly share the entire process, including all raw data and preliminary hypotheses and discoveries as it happens.

The current CRS criteria 1. Only small common cheap organic compounds 2. Only select relatively “Green” compounds 3. Avoid excessively unpleasant compounds (stench!)

Co-axial NMR tubes are used to isolate the reaction from the deuterated solvent

An example of a Chemical Rediscovery Survey experiment

The overall reaction is easily identified by NMR

Raw NMR data is provided for open analysis

The experiment is represented in a machine readable matrix: mole fractions

All assignable NMR peaks are also archived for machine readability

Report discoveries as they happen

Example of a more human readable format

In the case of ethanol, hemiacetal OH appears as doublet (7.3 Hz)

This level of detail for monitoring chemical interactions is not typically available from the chemical literature (Open or Not) Using NMR spectroscopy in this way to create an Open Survey of chemical behavior is analogous in astronomy to creating a new Survey of Space by introducing a new telescope

NMR requires a homogeneous solution for proper measurement However once an interesting reaction has been observed to occur slowly at 25C and low concentration, preparative scale-up conditions can be estimated (i.e. reaction rate doubles about every 10C)

The Recrystallization App (Open) (Andrew Lang)

What are good solvents to recrystallize benzoic acid? (Andrew Lang)

Click on the solvent to see temp curve (Open) (Andrew Lang)

The role of Openness in rethinking how to tackle the “big chemistry questions” Q3. How do we make chemistry environmentally friendly? By limiting ourselves to relatively Green compounds and by sharing all data in real time we are much more likely to find Green reactions from the CRS project and encourage others to benefit. This would reduce student exposure in teaching labs and lower costs for waste disposal

Q4. Can we design the perfect drug? We can try to do Open Drug Discovery – we have found active lead compounds against malaria for example and working on Taxol analogs (Andrew Lang)

Q5. How do we sell chemistry to the public? We are approaching 1000 queries a day for specific solubility and melting point data. Some originate from academia and industry but many from high schools and the general public. By concentrating on “Green” non toxic and readily available compounds and by providing Open resources to encourage their curiosity the public will become more engaged and understand the importance of chemistry.

Contributing to Science while Teaching it: Chemical Information Retrieval Class

Chemical Information Validation Sheet 2012

Each entry validated with an image

Alfa Aesar donates melting points to the public

Outliers for ethanol: Alfa Aesar and Oxford MSDS

Outliers MDPI dataset EPI (donated all data to public also)

Open Melting Point Datasets Currently 20,000 compounds with Open MPs

What is the melting point of 4-benzyltoluene? American Petroleum Institute PHYSPROP PHYSPROP peer reviewed journal (2008) government database government database 5C -30 C 125 C 97.5 C -30 C 4.58 C

Open Lab Notebook page measuring the melting point of 4-benzyltoluene

An example of a failed experiment in an Open Notebook with useful information

A failed experiment reveals the importance of aldehyde solubility

Information from the literature on the target synthesis

Motivation: Faster Science, Better Science

There are NO FACTS, only measurements embedded within assumptions Open Notebook Science maintains the integrity of data provenance by making assumptions explicit

An example of a successful experiment in an Open Notebook that was used to improve the teaching lab manual

Open Random Forest modeling of Open Melting Point data using CDK descriptors (Andrew Lang) R2 = 0.78, TPSA and nHdon most important

Melting point prediction service

Web services for summary data (Andrew Lang)

Using a Google Spreadsheet as a “dashboard interface” for reaction planning and analysis

Calling Google App Scripts

Calling Google App Scripts (Andrew Lang and Rich Apodaca)

Google Apps Scripts web services

Conclusions More openness in chemistry can make science more efficient and address many of the key current questions challenging chemistry community Provide interfaces that make sense to the end users: Open Data, Open Models and Open Source Software to modelers Apps (smartphones, Google App Scripts, etc.) for chemists at the bench Acknowledgements Andrew Lang (code, modeling) Bill Acree (modeling, solubility data contribution) Antony Williams (ChemSpider services, mp data curation) Matthew McBride and Rida Atif (recrystallization and synthesis) Kayla Gogarty, Cuepil Choi, Matthew McBride, Alex Turfa (CRS)

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