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The field of computer-aided synthesis planning (CASP) has seen rapid advancements in recent years, achieving significant progress across various algorithmic benchmarks. However, chemists often encounter numerous infeasible reactions when…

Machine Learning · Computer Science 2024-09-09 Shang Xiang , Lin Yao , Zhen Wang , Qifan Yu , Wentan Liu , Wentao Guo , Guolin Ke

Modern computer-assisted synthesis planning (CASP) systems show promises at generating chemically valid reaction steps but struggle to incorporate strategic considerations such as convergent assembly, protecting group minimization, and…

Artificial Intelligence · Computer Science 2025-12-02 Daniel Armstrong , Zlatko Jončev , Andres M Bran , Philippe Schwaller

AI-based computer-aided synthesis planning (CASP) systems are in demand as components of AI-driven drug discovery workflows. However, the high latency of such CASP systems limits their utility for high-throughput synthesizability screening…

Machine Learning · Computer Science 2025-08-05 Mikhail Andronov , Natalia Andronova , Michael Wand , Jürgen Schmidhuber , Djork-Arné Clevert

Computer-aided synthesis planning (CASP) has long been envisioned as a complementary tool for synthetic chemists. However, existing frameworks often lack mechanisms to allow interaction with human experts, limiting their ability to…

Artificial Intelligence · Computer Science 2025-12-19 Nguyen Xuan-Vu , Daniel Armstrong , Milena Wehrbach , Andres M Bran , Zlatko Jončev , Philippe Schwaller

Retrosynthesis consists of breaking down a chemical compound recursively step-by-step into molecular precursors until a set of commercially available molecules is found with the goal to provide a synthesis route. Its two primary research…

Artificial Intelligence · Computer Science 2024-03-12 Paula Torren-Peraire , Alan Kai Hassen , Samuel Genheden , Jonas Verhoeven , Djork-Arne Clevert , Mike Preuss , Igor Tetko

We present SynRXN, a unified benchmarking framework and open-data resource for computer-aided synthesis planning (CASP). SynRXN decomposes end-to-end synthesis planning into five task families, covering reaction rebalancing, atom-to-atom…

Machine Learning · Computer Science 2026-04-21 Tieu-Long Phan , Nhu-Ngoc Nguyen Song , Peter F. Stadler

From medicines to materials, small organic molecules are indispensable for human well-being. To plan their syntheses, chemists employ a problem solving technique called retrosynthesis. In retrosynthesis, target molecules are recursively…

Artificial Intelligence · Computer Science 2018-04-17 Marwin H. S. Segler , Mike Preuss , Mark P. Waller

Synthesis planning is the process of recursively decomposing target molecules into available precursors. Computer-aided retrosynthesis can potentially assist chemists in designing synthetic routes, but at present it is cumbersome and…

Chemical Physics · Physics 2019-07-04 Shuangjia Zheng , Jiahua Rao , Zhongyue Zhang , Jun Xu , Yuedong Yang

High-Performance Computing (HPC) platforms enable scientific software to achieve breakthroughs in many research fields such as physics, biology, and chemistry, by employing Research Software Engineering (RSE) techniques. These include 1)…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-16 Matan Rusanovsky , Re'em Harel , Lee-or Alon , Idan Mosseri , Harel Levin , Gal Oren

Automated Synthesis Planning has recently re-emerged as a research area at the intersection of chemistry and machine learning. Despite the appearance of steady progress, we argue that imperfect benchmarks and inconsistent comparisons mask…

Machine Learning · Computer Science 2024-09-09 Krzysztof Maziarz , Austin Tripp , Guoqing Liu , Megan Stanley , Shufang Xie , Piotr Gaiński , Philipp Seidl , Marwin Segler

Molecular simulations are an important tool for research in physics, chemistry, and biology. The capabilities of simulations can be greatly expanded by providing access to advanced sampling methods and techniques that permit calculation of…

Edge AI deployments are becoming increasingly complex, necessitating energy-efficient solutions for resource-constrained embedded systems. Approximate computing, which allows for controlled inaccuracies in computations, is emerging as a…

Hardware Architecture · Computer Science 2025-07-29 Siva Satyendra Sahoo , Salim Ullah , Akash Kumar

Computer-aided synthesis planning (CASP) algorithms have demonstrated expert-level abilities in planning retrosynthetic routes to molecules of low to moderate complexity. However, current search methods assume the sufficiency of reaching…

Artificial Intelligence · Computer Science 2024-11-04 Kevin Yu , Jihye Roh , Ziang Li , Wenhao Gao , Runzhong Wang , Connor W. Coley

To help researchers conduct a systematic review or meta-analysis as efficiently and transparently as possible, we designed a tool (ASReview) to accelerate the step of screening titles and abstracts. For many tasks - including but not…

We have developed an end-to-end, retrosynthesis system, named ChemiRise, that can propose complete retrosynthesis routes for organic compounds rapidly and reliably. The system was trained on a processed patent database of over 3 million…

Chemical Physics · Physics 2021-08-11 Xiangyan Sun , Ke Liu , Yuquan Lin , Lingjie Wu , Haoming Xing , Minghong Gao , Ji Liu , Suocheng Tan , Zekun Ni , Qi Han , Junqiu Wu , Jie Fan

Retrosynthesis analysis is pivotal yet challenging in drug discovery and organic chemistry. Despite the proliferation of computational tools over the past decade, AI-based systems often fall short in generalizing across diverse reaction…

Machine Learning · Computer Science 2024-08-21 Yifei Yang , Runhan Shi , Zuchao Li , Shu Jiang , Bao-Liang Lu , Yang Yang , Hai Zhao

NACSOS is a web-based platform for curating data used in systematic maps. It contains several (experimental) features that aid the evidence synthesis process from finding and ingesting primary data (mainly scientific publications), basic…

Digital Libraries · Computer Science 2024-05-09 Tim Repke , Max Callaghan

Retrosynthesis is the cornerstone of organic chemistry, providing chemists in material and drug manufacturing access to poorly available and brand-new molecules. Conventional rule-based or expert-based computer-aided synthesis has obvious…

Machine Learning · Computer Science 2023-01-18 Zipeng Zhong , Jie Song , Zunlei Feng , Tiantao Liu , Lingxiang Jia , Shaolun Yao , Tingjun Hou , Mingli Song

Introduction. Treatment planning systems (TPS) are an essential component for simulating and optimizing a radiation therapy treatment before administering it to the patient. It ensures that the tumor is well covered and the dose to the…

Recently, researchers in answer set programming and constraint programming spent significant efforts in the development of hybrid languages and solving algorithms combining the strengths of these traditionally separate fields. These efforts…

Artificial Intelligence · Computer Science 2013-12-23 Marcello Balduccini , Yulia Lierler
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