ArticleJournal of computer-aided molecular design2017
MolAlign: an algorithm for aligning multiple small molecules.
Article in Journal of computer-aided molecular design, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Discovery of Protease-Activated Receptor 4 (PAR4)-Tethered Ligand Antagonists Using Ultralarge Virtual Screening.ACS pharmacology & translational science · 2024Article
- SENSAAS-Flex: a joint optimization approach for aligning 3D shapes and exploring the molecular conformation space.Bioinformatics (Oxford, England) · 2024Article
- Derivation of Highly Predictive 3D-QSAR Models for hERG Channel Blockers Based on the Quantum Artificial Neural Network Algorithm.Pharmaceuticals (Basel, Switzerland) · 2023Article
- Introduction to the BioChemical Library (BCL): An Application-Based Open-Source Toolkit for Integrated Cheminformatics and Machine Learning in Computer-Aided Drug Discovery.Frontiers in pharmacology · 2022Article
- Quantum Artificial Neural Network Approach to Derive a Highly Predictive 3D-QSAR Model for Blood-Brain Barrier Passage.International journal of molecular sciences · 2021Article
- BCL::MolAlign: Three-Dimensional Small Molecule Alignment for Pharmacophore Mapping.Journal of chemical information and modeling · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In small molecule drug discovery projects, the receptor structure is not always available. In such cases it is enormously useful to be able to align known ligands in the way they bind in the receptor. Here we shall present an algorithm for the alignment of multiple small molecule ligands. This algorithm takes pre-generated conformers as input, and proposes aligned assemblies of the ligands. The algorithm consists of two stages: the first stage is to perform alignments for each pair of ligands, the second stage makes use of the results from the first stage to build up multiple ligand alignment assemblies using a novel iterative procedure. The scoring functions are improved versions of the one mentioned in our previous work. We have compared our results with some recent publications. While an exact comparison is impossible, it is clear that our algorithm is fast and produces very competitive results.
Indexed as
Identifiers
28573347What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.