A hybrid knowledge-based and empirical scoring function for protein–ligand interaction: SMoG2016
T Debroise, EI Shakhnovich… - Journal of chemical …, 2017 - ACS Publications
… of our scoring function for the prediction of protein–ligand binding free energy. This function
is … We note that other approaches have been used to obtain continuous functions for contact, …
is … We note that other approaches have been used to obtain continuous functions for contact, …
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 …
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, …
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 …
Protein–ligand scoring with convolutional neural networks
… key features of protein–ligand interactions that correlate with … : (1)A is a continuous piecewise
combination of a Gaussian (… or as fragments and each modified molecule is scored. The …
combination of a Gaussian (… or as fragments and each modified molecule is scored. The …
[HTML][HTML] 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 …
Task-specific scoring functions for predicting ligand binding poses and affinity and for screening enrichment
HM Ashtawy, NR Mahapatra - Journal of chemical information and …, 2018 - ACS Publications
… proteins and their ligands must be noncovalent. (iv) Binding … able to learn the protein–ligand
interactions at the fragment … task-specific hidden layers were tuned using cross-validation. …
interactions at the fragment … task-specific hidden layers were tuned using cross-validation. …
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 …