Machine learning unifies the modeling of materials and molecules

AP Bartók, S De, C Poelking, N Bernstein… - Science …, 2017 - science.org
Determining the stability of molecules and condensed phases is the cornerstone of atomistic
modeling, underpinning our understanding of chemical and materials properties and …

Ligand-based virtual screening using graph edit distance as molecular similarity measure

C Garcia-Hernandez, A Fernandez… - Journal of chemical …, 2019 - ACS Publications
Extended reduced graphs provide summary representations of chemical structures using
pharmacophore-type node descriptions to encode the relevant molecular properties …

Ligand-based virtual screening based on the graph edit distance

E Rica, S Álvarez, F Serratosa - International Journal of Molecular …, 2021 - mdpi.com
Chemical compounds can be represented as attributed graphs. An attributed graph is a
mathematical model of an object composed of two types of representations: nodes and …

Learning the edit costs of graph edit distance applied to ligand-based virtual screening

C Garcia-Hernandez, A Fernández… - Current topics in …, 2020 - ingentaconnect.com
Background: Graph edit distance is a methodology used to solve error-tolerant graph
matching. This methodology estimates a distance between two graphs by determining the …

CryptoBench: Cryptic protein-ligand binding sites dataset and benchmark

V Škrhák, M Novotný, CP Feidakis, R Krivák… - …, 2024 - academic.oup.com
Motivation Structure-based methods for detecting protein-ligand binding sites play a crucial
role in various domains, from fundamental research to biomedical applications. However …

Mutual support of ligand-and structure-based approaches—to what extent we can optimize the power of predictive model? Case study of opioid receptors

S Podlewska, R Kurczab - Molecules, 2021 - mdpi.com
The process of modern drug design would not exist in the current form without computational
methods. They are part of every stage of the drug design pipeline, supporting the search and …

Community Benchmarking Exercises for Docking and Scoring

B Devi, ATK Baidya, R Kumar - Computational Drug Discovery …, 2024 - Wiley Online Library
Drug discovery is an extensive and challenging pathway that needs a humungous amount
of funding as well as concerted efforts from interdisciplinary experts. High throughput …

Learning Distances Between Graph Nodes and Edges

E Rica, S Álvarez, F Serratosa - … (SPR) and Structural and Syntactic Pattern …, 2022 - Springer
Several applications can be developed when graphs represent objects composed of local
parts and their relations. For instance, chemical compounds are characterised by nodes that …

[PDF][PDF] Structural pattern recognition for chemical-compound virtual screening

CJG Hernandez - 2021 - core.ac.uk
Studyingmoleculesandpredictingtheirprope… design. Using computers to perform those
analyses is known as cheminformatics. It aims to tackle the dimensionality problem and …

Representation of chemical compounds and its utilization in similarity search

P Škoda - 2019 - dspace.cuni.cz
Virtual screening is a well-established part of computer-aided drug design, which heavily
employs similarity search and similarity modeling methods. Most of the popular methods are …