Molecular Complexity and Its Impact on the Probability of Finding Leads for Drug Discovery
By M. Hann, Andrew R. Leach, G. Harper. Journal of chemical information and computer sciences, 2001
847 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology, Organic Chemistry
View Paper: https://www.semanticscholar.org/paper/b8f38e96127e0b8fb084352b39678811c2d189c5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- M. Hann
- F. Silva-Jr
- Paula Jofily
- Pedro H. M. Torres
- A. C. Sodero
- C. K. Surratt
- Jeffry D. Madura
- J. Wells
In Molecular Biology
- Roderick E. Hubbard
- Michelle Arkin
- C. K. Surratt
- Jeffry D. Madura
- Yinyan Tang
- J. Wells
- Jens Meiler
- D. Rees
In Organic Chemistry
- J. Wells
- Yinyan Tang
- Michelle Arkin
- Yu Chen
- J. Greer
- Philip J. Hajduk
- C. K. Surratt
- Jeffry D. Madura
Citations in the corpus
- A guide to drug discovery: Hit and lead generation: beyond high-throughput screening (2003, background): “The first generation of such combinatorial libraries were unattractive for most screening groups due to overloaded molecular complexit”
- Twenty years on: the impact of fragments on drug discovery (2016, neutral): “2001 (REFS 9,10) .”
- The use of a graph database is a complementary approach to a classical similarity search for identifying commercially available fragment merges (2022, background): “While fragments tend to bind with weak afnity (typically in the high micromolar to low millimolar range) [1], their small size and lower likelihood of steric impediments result in increased likelihood of binding and higher hit rates compared with more traditional high-throughput screens (HTS) [3, 4”
- A decade of fragment-based drug design: strategic advances and lessons learned (2007, background): “An additional factor working in favour of fragment-based screening is that less complex molecules should show higher hit rates against protein targets, as theoretically formulated by Hann and co-worker”
- The impact of aromatic ring count on compound developability--are too many aromatic rings a liability in drug design? (2009, background): “In this context, it is interesting to note that the average number of aromatic rings in oral drugs is 1.6 [ 6 ], although it is not known whether this number is increasing over time.b It has also been shown that”