A hybrid knowledge-based and empirical scoring function for proteinligand interaction: SMoG2016

T Debroise, EI Shakhnovich… - Journal of chemical …, 2017 - ACS Publications
… of our scoring function for the prediction of proteinligand binding free energy. This function
is … We note that other approaches have been used to obtain continuous functions for contact, …

Featurization strategies for proteinligand interactions and their applications in scoring function development

G Xiong, C Shen, Z Yang, D Jiang, S Liu… - Wiley …, 2022 - Wiley Online Library
Differential geometry takes the discrete and continuousinteractions and the other for both
covalent and noncovalent … between the feature matrix and modified adjacency matrix, thereby …

graphDelta: MPNN scoring function for the affinity prediction of proteinligand complexes

DS Karlov, S Sosnin, MV Fedorov, P Popov - ACS omega, 2020 - ACS Publications
… for both covalent and non-covalent interactions; in other … a novel tool for scoring of
proteinligand interactions based on … The loss function is the modified MSE loss (eq 9), where N …

A new paradigm for applying deep learning to proteinligand interaction prediction

Z Wang, S Wang, Y Li, J Guo, Y Wei, Y Mu… - Briefings in …, 2024 - academic.oup.com
… 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 proteinligand 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 …

A consistent scheme for gradient-based optimization of proteinligand poses

F Flachsenberg, A Meyder, K Sommer… - Journal of Chemical …, 2020 - ACS Publications
… In summary, a function to score proteinligand docking … All scoring contributions (except for
the continuous torsion score, … In salmon, the modified structure is shown that clashes with the …

Proteinligand scoring with convolutional neural networks

M Ragoza, J Hochuli, E Idrobo, J Sunseri… - Journal of chemical …, 2017 - ACS Publications
… key features of proteinligand interactions that correlate with … : (1)A is a continuous piecewise
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 proteinligand interaction. On the other hand, a … ’s
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 proteinligand
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

C Shen, Y Hu, Z Wang, X Zhang, H Zhong… - Briefings in …, 2021 - academic.oup.com
functional forms as force-field methods but introduce addition empirical terms to represent the
proteinligand interactions… each model were automatically tuned with BOA implemented in …