Similarity-based virtual screening using 2D fingerprints
P Willett - Drug discovery today, 2006 - Elsevier
This paper summarizes recent work at the University of Sheffield on virtual screening
methods that use 2D fingerprint measures of structural similarity. A detailed comparison of a …
methods that use 2D fingerprint measures of structural similarity. A detailed comparison of a …
An overview of molecular fingerprint similarity search in virtual screening
I Muegge, P Mukherjee - Expert opinion on drug discovery, 2016 - Taylor & Francis
Introduction: A central premise of medicinal chemistry is that structurally similar molecules
exhibit similar biological activities. Molecular fingerprints encode properties of small …
exhibit similar biological activities. Molecular fingerprints encode properties of small …
Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?
Background Cheminformaticians are equipped with a very rich toolbox when carrying out
molecular similarity calculations. A large number of molecular representations exist, and …
molecular similarity calculations. A large number of molecular representations exist, and …
Relating protein pharmacology by ligand chemistry
The identification of protein function based on biological information is an area of intense
research. Here we consider a complementary technique that quantitatively groups and …
research. Here we consider a complementary technique that quantitatively groups and …
Comparison of descriptor spaces for chemical compound retrieval and classification
N Wale, IA Watson, G Karypis - Knowledge and Information Systems, 2008 - Springer
In recent years the development of computational techniques that build models to correctly
assign chemical compounds to various classes or to retrieve potential drug-like compounds …
assign chemical compounds to various classes or to retrieve potential drug-like compounds …
[引用][C] An Introduction to Chemoinformatics
AR Leach - 2007 - books.google.com
Chemoinformatics draws upon techniques from many disciplines including computer
science, mathematics, computational chemistry and data visualisation to tackle these …
science, mathematics, computational chemistry and data visualisation to tackle these …
Machine-learning-assisted design of highly tough thermosetting polymers
Y Hu, W Zhao, L Wang, J Lin, L Du - ACS Applied Materials & …, 2022 - ACS Publications
Despite advances in machine learning for accurately predicting material properties,
forecasting the performance of thermosetting polymers remains a challenge due to the …
forecasting the performance of thermosetting polymers remains a challenge due to the …
Charting biologically relevant chemical space: a structural classification of natural products (SCONP)
MA Koch, A Schuffenhauer, M Scheck… - Proceedings of the …, 2005 - National Acad Sciences
The identification of small molecules that fall within the biologically relevant subfraction of
vast chemical space is of utmost importance to chemical biology and medicinal chemistry …
vast chemical space is of utmost importance to chemical biology and medicinal chemistry …
An improved relaxed complex scheme for receptor flexibility in computer-aided drug design
The interactions among associating (macro) molecules are dynamic, which adds to the
complexity of molecular recognition. While ligand flexibility is well accounted for in …
complexity of molecular recognition. While ligand flexibility is well accounted for in …
A machine learning platform to estimate anti-SARS-CoV-2 activities
Strategies for drug discovery and repositioning are urgently need with respect to COVID-19.
Here we present REDIAL-2020, a suite of computational models for estimating small …
Here we present REDIAL-2020, a suite of computational models for estimating small …