Path Topology in Molecular and Materials Sciences.

The structures of molecules and materials determine their functions. Understanding the structure and function relationship is the holy grail of molecular and materials sciences. However, the rational design of molecules and materials with desirable functions remains a grand challenge despite decades of efforts. A major obstacle is the lack of an intrinsic mathematical characteristic that attributes to a specific function. This work introduces persistent path topology (PPT) to effectively characterize directed networks extracted from functional units, such as constitutional isomers, cis-trans isomers, chiral molecules, Jahn-Teller isomerism, and high-entropy alloy catalysts. Path homology (PH) theory is utilized to decipher the role of mirror-symmetric sublattices that hinder the formation of periodic unit cells in amorphous solids. Topological perturbation analysis (TPA) is proposed to reveal the critical target in the blood coagulation system. The proposed topological tools can be directly applied to systems biology, omics sciences, topological materials, and machine learning study of molecular and materials sciences.

[1]  G. Wei,et al.  PERSISTENT PATH LAPLACIAN. , 2022, Foundations of data science.

[2]  Jiahui Chen,et al.  Omicron BA.2 (B.1.1.529.2): High Potential for Becoming the Next Dominant Variant , 2022, The journal of physical chemistry letters.

[3]  Steve Huntsman,et al.  Path homologies of motifs and temporal network representations , 2022, Appl. Netw. Sci..

[4]  Tamal K. Dey,et al.  An Efficient Algorithm for 1-Dimensional (Persistent) Path Homology , 2020, Discrete & Computational Geometry.

[5]  Tongchao Liu,et al.  Tunning the linkage of structure units to enable stable spinel-based cathode in the wide potential window , 2021 .

[6]  F. Pan,et al.  Algebraic graph-assisted bidirectional transformers for molecular property prediction , 2021, Nature Communications.

[7]  Kelin Xia,et al.  Persistent spectral–based machine learning (PerSpect ML) for protein-ligand binding affinity prediction , 2021, Science Advances.

[8]  Kelin Xia,et al.  Hypergraph-based persistent cohomology (HPC) for molecular representations in drug design , 2021, Briefings Bioinform..

[9]  S. Osher,et al.  Determining the three-dimensional atomic structure of an amorphous solid , 2020, Nature.

[10]  Yiying Tong,et al.  EVOLUTIONARY DE RHAM-HODGE METHOD. , 2019, Discrete and continuous dynamical systems. Series B.

[11]  C. V. Singh,et al.  Neural Network-Assisted Development of High-Entropy Alloy Catalysts: Decoupling Ligand and Coordination Effects , 2020, Matter.

[12]  S. Yau,et al.  Path Complexes and their Homologies , 2020 .

[13]  Cassie Putman Micucci,et al.  Representation of molecular structures with persistent homology for machine learning applications in chemistry , 2020, Nature Communications.

[14]  Guo-Wei Wei,et al.  Persistent spectral graph , 2019, International journal for numerical methods in biomedical engineering.

[15]  Kelin Xia,et al.  Discrete Morse theory for weighted simplicial complexes , 2019, Topology and its Applications.

[16]  Guo-Wei Wei,et al.  AGL-Score: Algebraic Graph Learning Score for Protein-Ligand Binding Scoring, Ranking, Docking, and Screening , 2019, J. Chem. Inf. Model..

[17]  K. Jacobsen,et al.  High-Entropy Alloys as a Discovery Platform for Electrocatalysis , 2019, Joule.

[18]  Guo-Wei Wei,et al.  Analysis and prediction of protein folding energy changes upon mutation by element specific persistent homology , 2017, Bioinform..

[19]  Tarek A. Leil,et al.  Editorial: The emerging discipline of quantitative systems pharmacology , 2015, Front. Pharmacol..

[20]  Philippe Sautet,et al.  Introducing structural sensitivity into adsorption-energy scaling relations by means of coordination numbers. , 2015, Nature chemistry.

[21]  M. Khoo,et al.  Modeling the Autonomic and Metabolic Effects of Obstructive Sleep Apnea: A Simulation Study , 2012, Front. Physio..

[22]  L. Deng,et al.  Synthesis and Structural Characterization of Group 10 Metal−Carboryne Complexes , 2010 .

[23]  Joel E Moore,et al.  The birth of topological insulators , 2010, Nature.

[24]  Afra Zomorodian,et al.  Computing Persistent Homology , 2004, SCG '04.

[25]  D. Fell,et al.  A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks , 2000, Nature Biotechnology.