@inproceedings{32d16d4fe6ab4ae4b34b0f3db4b64176,
title = "An SMT-Based Framework for Reasoning About Discrete Biological Models",
abstract = "We present a framework called the Reasoning Engine, which implements Satisfiability Modulo Theories (SMT) based methods within a unified computational environment to address diverse biological analysis problems. The reasoning engine was used to reproduce results from key scientific studies, as well as supporting new research in stem cell biology. The framework utilizes an intermediate language for encoding partially specified discrete dynamical systems, which bridges the gap between high-level domain specific languages (DSLs) and low-level SMT solvers. We provide this framework as open source together with various biological case studies, illustrating the synthesis, enumeration, optimization and reasoning over models consistent with experimental observations to reveal novel biological insights.",
author = "Boyan Yordanov and Dunn, {Sara Jane} and Colin Gravill and Hillel Kugler and Wintersteiger, {Christoph M.}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 18th International Symposium on Bioinformatics Research and Applications, ISBRA 2022 ; Conference date: 14-11-2022 Through 17-11-2022",
year = "2022",
doi = "10.1007/978-3-031-23198-8_11",
language = "الإنجليزيّة",
isbn = "9783031231971",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "114--125",
editor = "Bansal, {Mukul S.} and Zhipeng Cai and Serghei Mangul",
booktitle = "Bioinformatics Research and Applications - 18th International Symposium, ISBRA 2022, Proceedings",
address = "ألمانيا",
}