Featurization strategies for protein–ligand interactions and their applications in scoring function development
… Differential geometry takes the discrete and continuous … interactions and the other for both
covalent and noncovalent … between the feature matrix and modified adjacency matrix, thereby …
covalent and noncovalent … between the feature matrix and modified adjacency matrix, thereby …
graphDelta: MPNN scoring function for the affinity prediction of protein–ligand complexes
… for both covalent and non-covalent interactions; in other … a novel tool for scoring of
protein–ligand interactions based on … The loss function is the modified MSE loss (eq 9), where N …
protein–ligand interactions based on … The loss function is the modified MSE loss (eq 9), where N …
Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions
… models from algebraic topology, differential geometry and combinatorial graph theory… tuning,
we analysed the impact of spatial scale on protein–ligand interactions using attention scores…
we analysed the impact of spatial scale on protein–ligand interactions using attention scores…
Developing novel scoring functions for protein-ligand docking using machine learning
F Boyles - 2020 - ora.ox.ac.uk
… wide range of noncovalent interactions between molecules, … physical principle underlying
protein-ligand interactions. The … lead molecule is studied and modified to increase its affinity for …
protein-ligand interactions. The … lead molecule is studied and modified to increase its affinity for …
A consistent scheme for gradient-based optimization of protein–ligand poses
F Flachsenberg, A Meyder, K Sommer… - Journal of Chemical …, 2020 - ACS Publications
… In summary, a function to score protein–ligand docking … All scoring contributions (except for
the continuous torsion score, … In salmon, the modified structure is shown that clashes with the …
the continuous torsion score, … In salmon, the modified structure is shown that clashes with the …
Toward generalizable structure‐based deep learning models for protein–ligand interaction prediction: Challenges and strategies
… or even newly faced situations without further tuning a model. Since practical … scoring
involves predicting binding affinity values for protein–ligand complexes and ranking derivative …
involves predicting binding affinity values for protein–ligand complexes and ranking derivative …
A new paradigm for applying deep learning to protein–ligand interaction prediction
… by our group, adopts modified formats of van der Waals and … the pocket is governed by
non-covalent interactions, and the … scoring framework for predicting protein–ligand interactions, …
non-covalent interactions, and the … scoring framework for predicting protein–ligand interactions, …
Non-covalent interactions from a Quantum Chemical Topology perspective
PLA Popelier - Journal of molecular modeling, 2022 - Springer
… per mole matters in the calculation of protein–ligand interaction. On the other hand, a … ’s
architecture does not differentiate between intra- and intermolecular interactions: an atom …
architecture does not differentiate between intra- and intermolecular interactions: an atom …
Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions
… functional forms as force-field methods but introduce addition empirical terms to represent the
protein–ligand interactions… each model were automatically tuned with BOA implemented in …
protein–ligand interactions… each model were automatically tuned with BOA implemented in …
Planet: a multi-objective graph neural network model for protein–ligand binding affinity prediction
X Zhang, H Gao, H Wang, Z Chen… - Journal of Chemical …, 2023 - ACS Publications
… matrix indicating the non-covalent interactions between each … The ligand feature extraction
module is modified from the … quality of a protein–ligand interaction scoring function. However, …
module is modified from the … quality of a protein–ligand interaction scoring function. However, …