QT4HC activity summary for 2021, Chapter 2/4: Using Tech to explore Quantum Simulation in Pharma
QT4HC | QuantumTech for Healthcare
A global crowdsource community of medical researchers that focuses on revealing Quantum Tech & Quantum Biology usecases
The purpose of this summary series is to guide you through the concepts of Quantum Tech implementation potential as we have tried to portray throughout 2021.
In order to make your first introduction to Quantum Tech as pleasant as possible, and to facilitate understanding of the fundamentals, we have chosen simplicity over accuracy. Members of the QuantumTalks group can also expand their knowledge of each concept by referring to the reference links that have been provided for each topic, which will provide additional reading materials.?
As we have gathered and shared some insights across the various medical science segments, by the end of this year and throughout 2022, we will be sharing some summary information by segment or concepts or a specific Quantum Tech.
This summary includes 4 chapters:
1. Neuroscience (link)
2. Using Tech to explore Quantum Simulation in Pharma?(This chapter)
Chapter 2: Using Tech to explore Quantum Simulation in Pharma
Since quantum mechanics describes the behaviour of electrons in atoms, it can also be used to describe the basic rules of chemistry. The Schr?dinger equation is used to explain how molecules are bonded and move, referred to as molecular dynamics. Solving the quantum mechanics of molecules is a very computationally intensive task, which is why computational techniques are so critical in quantum chemistry. It was presumed that the pharmaceutical industry would be a promising candidate for the use of a Quantum Computer once it became commercially available.
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As part of our exploration of the Quantum Computing aspect of drug discovery, we wanted to learn what new tool this approach could potentially add to the drug development toolbox.
Having observed this year other methods that addressed protein folding, we wanted to determine if a hybrid approach that combines both classical and quantum computing methods would demonstrate any further advantages.?https://lnkd.in/eja8zABJ
To answer that question, let's break down the drug development process.
Pharmaceutical companies are currently focused on finding/developing the optimal simulation tools, in particular, molecular simulation tools to handle each of the steps in the drug discovery/development process:
In his book Understanding Quantum Computing, Olivier Ezratty summarises the above with a statement he calls "the holy grail of drug development"- understanding the assembly and operation of ribosomes: https://lnkd.in/d-hmDee3
?In order to generate a more high-resolution simulation, startups like Menten.ai offers another way of assessing the right size of molecule (a size known as peptide) using a hybrid approach of classical and quantum computing methods:???https://lnkd.in/debjk4ws
There were two interesting case studies of the hybrid approach provided by Cambridge Quantum and Roche with relation to
Our first community discussion in 2022 will break the drug discovery discussion into different segments, in which we will be addressing Oncolgoy, Virology and more.
A quick taste on our community kickoff discussion for Undruggable proteins: https://www.dhirubhai.net/feed/update/urn:li:activity:6884961876388712450/
Next chapter (: Uncluttering the mess - the research lab to the hospital surgery – using Quantum Optimisation
Missed our other chapters ? Please find them here:
1: Neuroscience
4. Using Quantum Tech to explore Quantum Biology/Chemistry phenomena (coming up soon)
Are you interested in learning more about Quantum Journey in Neuroscience?
Let us know about your questions, your insights and things you are curious about, so we can include them on our exploration path and share them with you in 2022.
Translational cancer researcher
3 年Quantum simulation shake up science in 2022 https://www.nature.com/articles/d41586-022-00163-x
Great job!