Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Finding the ΔΔG spot: Are predictors of binding affinity changes upon mutations in protein–protein interactions ready for it?
Cunliang Geng, Li C. Xue, Jorge Roel‐Touris, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2019) Vol. 9, Iss. 5
Open Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

A topology-based network tree for the prediction of protein–protein binding affinity changes following mutation
Menglun Wang, Zixuan Cang, Guo‐Wei Wei
Nature Machine Intelligence (2020) Vol. 2, Iss. 2, pp. 116-123
Open Access | Times Cited: 173
The chemistry of snake venom and its medicinal potential
Ana Oliveira, Matilde F. Viegas, Saulo L. da Silva, et al.
Nature Reviews Chemistry (2022) Vol. 6, Iss. 7, pp. 451-469
Open Access | Times Cited: 163
The Role of Conformational Dynamics and Allostery in Modulating Protein Evolution
Paul Campitelli, Tushar Modi, Sudhir Kumar, et al.
Annual Review of Biophysics (2020) Vol. 49, Iss. 1, pp. 267-288
Open Access | Times Cited: 151
Computational prediction of protein–protein binding affinities
Till Siebenmorgen, Martin Zacharias
Wiley Interdisciplinary Reviews Computational Molecular Science (2019) Vol. 10, Iss. 3
Open Access | Times Cited: 148
DeepRank-GNN: a graph neural network framework to learn patterns in protein–protein interfaces
Manon Réau, Nicolas Renaud, Li C. Xue, et al.
Bioinformatics (2022) Vol. 39, Iss. 1
Open Access | Times Cited: 94
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 84
Machine‐learning scoring functions for structure‐based drug lead optimization
Hongjian Li, Kam‐Heung Sze, Gang Lü, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2020) Vol. 10, Iss. 5
Open Access | Times Cited: 129
DeepRank: a deep learning framework for data mining 3D protein-protein interfaces
Nicolas Renaud, Cunliang Geng, Sonja Georgievska, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 83
Computational prediction of the effect of amino acid changes on the binding affinity between SARS-CoV-2 spike RBD and human ACE2
Chen Chen, Veda Sheersh Boorla, Deepro Banerjee, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 42
Open Access | Times Cited: 74
MutateX: an automated pipeline for in silico saturation mutagenesis of protein structures and structural ensembles
Matteo Tiberti, Thilde Terkelsen, Kristine Degn, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Open Access | Times Cited: 47
RosettaDDGPrediction for high‐throughput mutational scans: From stability to binding
Valentina Sora, Adrian Otamendi Laspiur, Kristine Degn, et al.
Protein Science (2022) Vol. 32, Iss. 1
Open Access | Times Cited: 40
Conformational Stability and Denaturation Processes of Proteins Investigated by Electrophoresis under Extreme Conditions
Patrick Masson, Sofya V. Lushchekina
Molecules (2022) Vol. 27, Iss. 20, pp. 6861-6861
Open Access | Times Cited: 34
Free Energy Perturbation Calculations of Mutation Effects on SARS-CoV-2 RBD::ACE2 Binding Affinity
Alina P. Sergeeva, Phinikoula S. Katsamba, Junzhuo Liao, et al.
Journal of Molecular Biology (2023) Vol. 435, Iss. 15, pp. 168187-168187
Open Access | Times Cited: 17
DeepRank-GNN-esm: a graph neural network for scoring protein–protein models using protein language model
Xiaotong Xu, Alexandre M. J. J. Bonvin
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 7
Investigating the Volume and Diversity of Data Needed for Generalizable Antibody-Antigen ∆∆G Prediction
Alissa Hummer, Constantin Schneider, Lewis Chinery, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 15
An interpretable deep geometric learning model to predict the effects of mutations on protein–protein interactions using large-scale protein language model
Caiya Zhang, Yanzhi Sun, Pingzhao Hu
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Integrative modeling of membrane-associated protein assemblies
Jorge Roel‐Touris, Brian Jiménez‐García, Alexandre M. J. J. Bonvin
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 38
Predicting changes in protein stability caused by mutation using sequence‐and structure‐based methods in a CAGI5 blind challenge
Alexey Strokach, Carles Corbi‐Verge, Philip M. Kim
Human Mutation (2019) Vol. 40, Iss. 9, pp. 1414-1423
Open Access | Times Cited: 35
Predicting mechanical properties of silk from its amino acid sequences via machine learning
Yoonjung Kim, Taeyoung Yoon, Woo B. Park, et al.
Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials (2023) Vol. 140, pp. 105739-105739
Closed Access | Times Cited: 12
DGCddG: Deep Graph Convolution for Predicting Protein-Protein Binding Affinity Changes Upon Mutations
Yelu Jiang, Lijun Quan, Kailong Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 3, pp. 2089-2100
Closed Access | Times Cited: 11
Design of protein-binding peptides with controlled binding affinity: the case of SARS-CoV-2 receptor binding domain and angiotensin-converting enzyme 2 derived peptides
Giacomo Parisi, Roberta Piacentini, Alessio Incocciati, et al.
Frontiers in Molecular Biosciences (2024) Vol. 10
Open Access | Times Cited: 4
Implications of disease-related mutations at protein–protein interfaces
Dapeng Xiong, Dongjin Lee, Le Li, et al.
Current Opinion in Structural Biology (2021) Vol. 72, pp. 219-225
Open Access | Times Cited: 25
Computational Analysis of Mutations in the Receptor-Binding Domain of SARS-CoV-2 Spike and Their Effects on Antibody Binding
Marine E. Bozdaganyan, К. В. Шайтан, М. П. Кирпичников, et al.
Viruses (2022) Vol. 14, Iss. 2, pp. 295-295
Open Access | Times Cited: 16
Computational Mutagenesis of Antibody Fragments: Disentangling Side Chains from ΔΔG Predictions
Rika Tandiana, German P. Barletta, Miguel A. Soler, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 6, pp. 2630-2642
Closed Access | Times Cited: 3
Prediction of mutation-induced protein stability changes based on the geometric representations learned by a self-supervised method
Shanshan Li, Zhao Ming Liu, Jian Li, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Page 1 - Next Page

Scroll to top