GDockScore: a graph-based protein–protein docking scoring function
M McFee, PM Kim - Bioinformatics advances, 2023 - academic.oup.com
Protein complexes play vital roles in a variety of biological processes, such as mediating
biochemical reactions, the immune response and cell signalling, with 3D structure specifying …
biochemical reactions, the immune response and cell signalling, with 3D structure specifying …
Rescoring of docking poses under Occam's Razor: are there simpler solutions?
Ligand affinity prediction from docking simulations is usually performed by means of highly
empirical and diverse protocols. These protocols often involve the re-scoring of poses …
empirical and diverse protocols. These protocols often involve the re-scoring of poses …
[HTML][HTML] Molecular Docking: An Insight from Drug Discovery to Drug Repurposing Approach
The impact of computer-aided drug designing in the field of medicinal chemistry has created
a boon in the drug discovery process. Molecular docking is an integral part of bioinformatics …
a boon in the drug discovery process. Molecular docking is an integral part of bioinformatics …
FeatureDock: Protein-Ligand Docking Guided by Physicochemical Feature-Based Local Environment Learning using Transformer
Molecular docking, the task of predicting the binding structures between a protein and a
small molecule ligand, plays a significant role in structural-based drug discovery. In recent …
small molecule ligand, plays a significant role in structural-based drug discovery. In recent …
Biomolecular talks—part 1: a theoretical revisit on molecular modeling and docking approaches
A Ramaswamy, S Balasubramanian… - Molecular docking for …, 2021 - Elsevier
Biomolecular interactions, which were studied earlier using only experimental techniques,
became a vital resource of information after the introduction of computational approaches …
became a vital resource of information after the introduction of computational approaches …
Structure-based virtual screening in drug discovery
One of the most widely used computational approaches for drug discovery and optimization
is structure-based virtual screening (SBVS). This technique utilizes three-dimensional …
is structure-based virtual screening (SBVS). This technique utilizes three-dimensional …
Can docking scoring functions guarantee success in virtual screening?
Y Velasquez-López, E Tejera… - Annual Reports in …, 2022 - Elsevier
Computational methods such as virtual screening have an important role in drug discovery.
Virtual screening is frequently used for the identification of hit compounds at early stages of …
Virtual screening is frequently used for the identification of hit compounds at early stages of …
Molecular De Novo Design Through Deep Generative Models
Machine learning (ML) and artificial intelligence (AI) have had a renaissance during the last
few years and have become a hot topic not only in drug discovery but in the whole of society …
few years and have become a hot topic not only in drug discovery but in the whole of society …
Nonparametric chemical descriptors for the calculation of ligand-biopolymer affinities with machine-learning scoring functions
E Moman, MA Grishina, VA Potemkin - Journal of Computer-Aided …, 2019 - Springer
The computational prediction of ligand-biopolymer affinities is a crucial endeavor in modern
drug discovery and one that still poses major challenges. The choice of the appropriate …
drug discovery and one that still poses major challenges. The choice of the appropriate …
Molekulové dokování jako nástroj pro virtuální návrh léčiv
M Šícho, D Svozil - Chemické listy, 2017 - www-.chemicke-listy.cz
Bringing a new drug to the market is a lengthy, risky and expensive endeavor. Money spent
on developing new drugs keeps going up each year, which is disproportional to the number …
on developing new drugs keeps going up each year, which is disproportional to the number …