I am best known for my expertise in quantum chemical methods which focus on overcoming challenges in drug discovery, from drug metabolism to physical 稳定 of crystalline material. In my current role, I drive the digital transformation of 制药aceutical Sciences.

Since joining the 制药aceutical Sciences leadership team in 2016, I have established several prominent external collaborations and successfully introduced predictive tools to various R&D项目. This includes computational methods that predict risk posed by drug degradation and chemical and physical properties of compounds in development.

I have a PhD in 理论物理ical 化学istry from the University of 哥德堡 and I began my industry career at Volvo Cars. 在这里, I led the acquisition of one of the fastest supercomputers in the world, used for simulation in the automotive industry.

I have published over 45 peer reviewed articles, and am frequently invited to speak at scientific conferences worldwide.

 

It is exciting to see the growing role of AI across drug discovery and development at AstraZeneca. In 制药aceutical Sciences our predictive models for synthesis, 稳定, and distribution of drugs may eventually translate to improved dosing and efficacy during treatment. In the future, the ultimate beneficiary of the technological advances will be the patient.

安德斯Broo Head of Data Science and Modelling, 制药aceutical Sciences, R&D

电流的作用

Head of Data Science and Modelling, 制药aceutical Sciences, R&D

2019

Key speaker at the event New Updates in Drug Formulation & Bioavailability discussing Predictive modelling and AI/ML in drug discovery and development at AstraZeneca

2018

Appointed to the Industry advisory board for the Wallenberg Center for Quantum Technology and on the EU quantum technology flagship - Open SuperQ

2011

Appointed Predictive Science Implementation Leader in 制药aceutical Development at AstraZeneca

特色 出版物


Prediction of drug candidates’ sensitivity towards autoxidation; computational estimation of C-H dissociation energies of carbon centered radicals.

Emma Evertsson, Thomas Andersson, 安德斯Broo, J. 制药. Sci. 103, (2014), 1949.

Transferable Force Field for Crystal Structure Predictions

安德斯·布鲁,斯滕·O. Nilsson Lill, submitted to special issue on crystal structure predictions 学报 B75 (2016), 460-476.

State-of-the-art Tools for computational Site of metabolism Predictions: Comparative analysis, mechanistical insights and future applications

Lovisa Afzelius, 卡特琳·哈瑟格伦·安比, 安德斯Broo, 拉尔斯•, 克里斯汀法甲, Ulrik Jurva, 布丽塔一起创造Kjellander, 卡琳Kolmodin, 克里斯蒂娜尼尔森, Florian Raubacher, 佬司Weidolf, 药物综述 39, (2007) 61-86.

A Theoretical investigation of physical reason for the very different luminescence properties of the two isomers adenine and 2-aminopurine

A. Broo. J. 理论物理. 化学. A, 102, (1998), 526.

Diasterometric DNA-Binding Geometries of Intercalated Ruthenium(II) Trischelates Probed by Linear Dichroism: [Ru(phen)2DPPZ]2+ and [Ru(phen)2BDPPZ]2+

P. 林肯,一个. 布鲁和B. 诺登, J. Am. 化学. Soc. 118, (1996), 2644.

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