Computational methods in drug discovery

G Sliwoski, S Kothiwale, J Meiler, EW Lowe - Pharmacological reviews, 2014 - ASPET
Computer-aided drug discovery/design methods have played a major role in the
development of therapeutically important small molecules for over three decades. These …

Structure-based virtual screening for drug discovery: principles, applications and recent advances

E Lionta, G Spyrou, DK Vassilatis… - Current topics in …, 2014 - ingentaconnect.com
Structure-based drug discovery (SBDD) is becoming an essential tool in assisting fast and
cost-efficient lead discovery and optimization. The application of rational, structure-based …

Molecular similarity in medicinal chemistry: miniperspective

G Maggiora, M Vogt, D Stumpfe… - Journal of medicinal …, 2014 - ACS Publications
Similarity is a subjective and multifaceted concept, regardless of whether compounds or any
other objects are considered. Despite its intrinsically subjective nature, attempts to quantify …

State-of-the-art in ligand-based virtual screening

P Ripphausen, B Nisius, J Bajorath - Drug discovery today, 2011 - Elsevier
Virtual screening is a much discussed topic in chemoinformatics and medicinal chemistry,
and widely applied in pharmaceutical research. Here, we provide an in-depth analysis of …

Targeting the small GTPase superfamily through their regulatory proteins

JL Gray, F von Delft, PE Brennan - … Chemie International Edition, 2020 - Wiley Online Library
The Ras superfamily of small GTPases are guanine‐nucleotide‐dependent switches
essential for numerous cellular processes. Mutations or dysregulation of these proteins are …

Reactions of secondary propargylamines with heteroallenes for the synthesis of diverse heterocycles

VA Peshkov, OP Pereshivko, AA Nechaev… - Chemical Society …, 2018 - pubs.rsc.org
This focused review aims to summarize recent developments in the processes involving
additions of secondary propargylamines to various heteroallenes and subsequent transition …

Support vector machines for drug discovery

K Heikamp, J Bajorath - Expert opinion on drug discovery, 2014 - Taylor & Francis
Introduction: Support vector machines (SVMs) are supervised machine learning algorithms
for binary class label prediction and regression-based prediction of property values. In …

Hierarchical virtual screening approaches in small molecule drug discovery

A Kumar, KYJ Zhang - Methods, 2015 - Elsevier
Virtual screening has played a significant role in the discovery of small molecule inhibitors of
therapeutic targets in last two decades. Various ligand and structure-based virtual screening …

Large-scale similarity search profiling of ChEMBL compound data sets

K Heikamp, J Bajorath - Journal of chemical information and …, 2011 - ACS Publications
A large-scale similarity search investigation has been carried out on 266 well-defined
compound activity classes extracted from the ChEMBL database. The analysis was …

RETRACTED: Cytohesins Are Cytoplasmic ErbB Receptor Activators

A Bill, A Schmitz, B Albertoni, JN Song, LC Heukamp… - Cell, 2010 - cell.com
Signaling by ErbB receptors requires the activation of their cytoplasmic kinase domains,
which is initiated by ligand binding to the receptor ectodomains. Cytoplasmic factors …