The MQN-mapplet is a Java application giving access to the structure of small molecules in large databases via color-coded maps of their chemical space. These maps are projections from a 42-dimensional property space defined by 42 integer value descriptors called molecular quantum numbers (MQN), which count different categories of atoms, bonds, polar groups, and topological features and categorize molecules by size, rigidity, and polarity. Despite its simplicity, MQN-space is relevant to biological activities. The MQN-mapplet allows localization of any molecule on the color-coded images, visualization of the molecules, and identification of analogs as neighbors on the MQN-map or in the original 42-dimensional MQN-space. No query molecule is...
Repository of some of the Downloadable tools produced by the Reymond Laboratory. Java Mapplets in s...
Analyzing chemical datasets is a challenging task for scientific researchers in the field of chemoin...
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim This is, to our knowledge, the most comprehensiv...
The database PubChem was classified using 42 integer value descriptors of molecular structure, here ...
An Internet portal accessible at www.gdb.unibe.ch has been set up to automatically generate color-co...
The chemical universe database GDB-17 contains 166.4 billion molecules of up to 17 atoms of C, N, O,...
An Internet portal accessible at www.gdb.unibe.ch has been set up to automatically generate color-co...
The 4.5 million organic molecules with up to 20 non-hydrogen atoms in PubChem were analyzed using th...
Chemical space is a concept to organize molecular diversity by postulating that different molecules ...
Organic small molecules are of particular interest for medicinal chemistry since they comprise many ...
BACKGROUND Similarly to the periodic table for elements, chemical space offers an organizing prin...
BACKGROUND: Analysis and visualization of large collections of molecules is one of the most frequent...
The chemical universe database GDB-13, which enumerates 977million organic molecules up to 13 atoms ...
The chemical space is the ensemble of all possible molecules, which is believed to contain at least ...
This thesis is dedicated to the detailed GTM-based analysis of the chemical space of ultra-large lib...
Repository of some of the Downloadable tools produced by the Reymond Laboratory. Java Mapplets in s...
Analyzing chemical datasets is a challenging task for scientific researchers in the field of chemoin...
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim This is, to our knowledge, the most comprehensiv...
The database PubChem was classified using 42 integer value descriptors of molecular structure, here ...
An Internet portal accessible at www.gdb.unibe.ch has been set up to automatically generate color-co...
The chemical universe database GDB-17 contains 166.4 billion molecules of up to 17 atoms of C, N, O,...
An Internet portal accessible at www.gdb.unibe.ch has been set up to automatically generate color-co...
The 4.5 million organic molecules with up to 20 non-hydrogen atoms in PubChem were analyzed using th...
Chemical space is a concept to organize molecular diversity by postulating that different molecules ...
Organic small molecules are of particular interest for medicinal chemistry since they comprise many ...
BACKGROUND Similarly to the periodic table for elements, chemical space offers an organizing prin...
BACKGROUND: Analysis and visualization of large collections of molecules is one of the most frequent...
The chemical universe database GDB-13, which enumerates 977million organic molecules up to 13 atoms ...
The chemical space is the ensemble of all possible molecules, which is believed to contain at least ...
This thesis is dedicated to the detailed GTM-based analysis of the chemical space of ultra-large lib...
Repository of some of the Downloadable tools produced by the Reymond Laboratory. Java Mapplets in s...
Analyzing chemical datasets is a challenging task for scientific researchers in the field of chemoin...
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim This is, to our knowledge, the most comprehensiv...