Fragment library design: efficiently hunting drugs in chemical space

2010 ◽  
Vol 7 (3) ◽  
pp. e173-e180 ◽  
Author(s):  
Susan M. Boyd ◽  
Gerdien E. de Kloe
Proceedings ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 107
Author(s):  
Yun Shi ◽  
Mark von Itzstein

Fragment-based drug discovery (FBDD) has become a major strategy to derive novel lead candidates for both new and established therapeutic targets, as it promises efficient exploration of chemical space by employing fragment-sized (MW 300) compounds. One of the first challenges in implementing a FBDD approach is the design of a fragment library, and more specifically, the choice of its size and individual members. In order to construct a library that maximises the chances of discovering novel chemical matter, a large number of fragments with sufficient structural diversity are often sought. However, the exact diversity of a certain collection of fragments remains elusive, which hinders direct comparisons among different selections of fragments. Building upon structural fingerprints that are commonly utilised in cheminformatics, we herein introduced quantitative measures for the structural diversity of fragment libraries. Structures of commercially available fragments were retrieved from the ZINC database and filtered by physicochemical properties, after which they were subject to selections with library sizes ranging from 100 to 100,000 compounds. The selected libraries were evaluated and compared quantitatively, resulting in interesting size-diversity relationships. Our results suggested the existence of an optimal size for structural diversity and demonstrated that such quantitative measures can guide the design of diverse fragment libraries under various circumstances


2011 ◽  
Vol 25 (7) ◽  
pp. 611-620 ◽  
Author(s):  
M. N. Schulz ◽  
J. Landström ◽  
K. Bright ◽  
R. E. Hubbard

Impact ◽  
2018 ◽  
Vol 2018 (3) ◽  
pp. 32-34
Author(s):  
Martin Scanlon

The Monash Fragment Platform (MFP) provides academic and commercial researchers with access to fragment-based drug discovery (FBDD) technologies for their therapeutic targets. The facilities are located at the Monash Institute for Pharmaceutical Sciences (MIPS) in Parkville, Australia's largest and most successful pharmaceutical institute. FBDD screening uses our high-quality, in-house fragment library designed to maximise chemical space coverage and enable rapid hit optimisation. Screening cascades are tailored for each target and can be performed using a variety of techniques including NMR spectroscopy and our state-of-the-art surface plasmon resonance (SPR) facility. Structural biology and medicinal chemistry expertise utilising our standardized REFIL strategy enables the rapid elaboration of fragments into leads without the requirement for a large chemistry program.


Molecules ◽  
2019 ◽  
Vol 24 (7) ◽  
pp. 1444 ◽  
Author(s):  
Chu ◽  
He

A Java-based platform, MoleGear, is developed for de novo molecular design based on the chemistry development kit (CDK) and other Java packages. MoleGear uses evolutionary algorithm (EA) to explore chemical space, and a suite of fragment-based operators of growing, crossover, and mutation for assembling novel molecules that can be scored by prediction of binding free energy or a weighted-sum multi-objective fitness function. The EA can be conducted in parallel over multiple nodes to support large-scale molecular optimizations. Some complementary utilities such as fragment library design, chemical space analysis, and graphical user interface are also integrated into MoleGear. The candidate molecules as inhibitors for the human immunodeficiency virus 1 (HIV-1) protease were designed by MoleGear, which validates the potential capability for de novo molecular design.


Molecules ◽  
2019 ◽  
Vol 24 (15) ◽  
pp. 2838 ◽  
Author(s):  
Yun Shi ◽  
Mark von Itzstein

Fragment-based drug discovery (FBDD) has become a major strategy to derive novel lead candidates for various therapeutic targets, as it promises efficient exploration of chemical space by employing fragment-sized (MW < 300) compounds. One of the first challenges in implementing a FBDD approach is the design of a fragment library, and more specifically, the choice of its size and individual members. A diverse set of fragments is required to maximize the chances of discovering novel hit compounds. However, the exact diversity of a certain collection of fragments remains underdefined, which hinders direct comparisons among different selections of fragments. Based on structural fingerprints, we herein introduced quantitative metrics for the structural diversity of fragment libraries. Structures of commercially available fragments were retrieved from the ZINC database, from which libraries with sizes ranging from 100 to 100,000 compounds were selected. The selected libraries were evaluated and compared quantitatively, resulting in interesting size-diversity relationships. Our results demonstrated that while library size does matter for its diversity, there exists an optimal size for structural diversity. It is also suggested that such quantitative measures can guide the design of diverse fragment libraries under different circumstances.


2017 ◽  
Vol 22 (1) ◽  
pp. 43-56 ◽  
Author(s):  
Peter C. Ray ◽  
Michael Kiczun ◽  
Margaret Huggett ◽  
Andrew Lim ◽  
Federica Prati ◽  
...  

2012 ◽  
Vol 2 (6) ◽  
pp. 868-885 ◽  
Author(s):  
Susan M. Boyd ◽  
Andrew P. Turnbull ◽  
Björn Walse

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