Kozakov, Dima
Boston University · Stony Brook University
12 papers on CoChatORCID 0000-0003-0464-4500
Most cited papers
- Verified
PIPER: An FFT‐based protein docking program with pairwise potentials
Kozakov, D., Brenke, R., Comeau, S. R., & Vajda, S. (2006) · Proteins: Structure, Function, and Bioinformatics
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 865
- Verified
Allostery in Its Many Disguises: From Theory to Applications
Wodak, S. J., Paci, E., Dokholyan, N. V., Berezovsky, I. N., Horovitz, A., Li, J., Hilser, V. J., Bahar, I., Karanicolas, J., Stock, G., et al. (2019) · Structure
Protein Structure and DynamicsReceptor Mechanisms and Signaling
Cited by 404
- Verified
A critical overview of computational approaches employed for COVID-19 drug discovery
Muratov, E. N., Amaro, R., Andrade, C. H., Brown, N., Ekins, S., Fourches, D., Isayev, O., Kozakov, D., Medina-Franco, J. L., Merz, K. M., et al. (2021) · Chemical Society Reviews
Computational Drug Discovery MethodsSARS-CoV-2 and COVID-19 Research
Cited by 206
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Blind prediction of homo- and hetero-protein complexes: the CASP13-CAPRI experiment
Lensink, M. F., Brysbaert, G., Nadzirin, N., Velankar, S., Chaleil, R. A. G., Gerguri, T., Bates, P. A., Laine, E., Carbone, A., Grudinin, S., et al. (2019) · Proteins Structure Function and Bioinformatics
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 122
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Improved Docking of Protein Models by a Combination of Alphafold2 and ClusPro
Ghani, U., Desta, I., Jindal, A., Khan, O., Jones, G., Hashemi, N., Kotelnikov, S., Padhorny, D., Vajda, S., & Kozakov, D. (2021) · bioRxiv (Cold Spring Harbor Laboratory)
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 68
- Verified
ClusPro-DC: dimer classification by the Cluspro server for protein–protein docking
Yueh, C., Hall, D. R., Xia, B., Padhorny, D., Kozakov, D., & Vajda, S. (2017) · Journal of Molecular Biology
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 53
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Comprehensive Experimental and Computational Analysis of Binding Energy Hot Spots at the NF-κB Essential Modulator/IKKβ Protein–Protein Interface
Golden, M. S., Cote, S. M., Sayeg, M., Zerbe, B. S., Villar, E. A., Beglov, D., Sazinsky, S. L., Georgiadis, R. M., Vajda, S., Kozakov, D., et al. (2013) · Journal of the American Chemical Society
NF-κB Signaling PathwaysComputational Drug Discovery Methods
Cited by 47
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Evidence of Conformational Selection Driving the Formation of Ligand Binding Sites in Protein-Protein Interfaces
Bohnuud, T., Kozakov, D., & Vajda, S. (2014) · PLoS Computational Biology
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 27
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Improved Predictions of MHC-Peptide Binding using Protein Language Models
Hashemi, N., Hao, B., Ignatov, M., Paschalidis, I., Vakili, P., Vajda, S., & Kozakov, D. (2022) · Frontiers in Bioinformatics
vaccines and immunoinformatics approachesMachine Learning in Bioinformatics
Cited by 25
- Verified
Improved prediction of MHC-peptide binding using protein language models
Hashemi, N., Hao, B., Ignatov, M., Paschalidis, I. C., Vakili, P., Vajda, S., & Kozakov, D. (2023) · Frontiers in Bioinformatics
vaccines and immunoinformatics approachesMachine Learning in Bioinformatics
Cited by 25
- Verified
MHC-Fine: Fine-tuned AlphaFold for Precise MHC-Peptide Complex Prediction
Glukhov, E., Kalitin, D., Stepanenko, D., Zhu, Y., Nguyen, T., Jones, G., Simmerling, C., Mitchell, J. C., Vajda, S., Dill, K. A., et al. (2023) · Biophysical Journal
vaccines and immunoinformatics approachesProtein Structure and Dynamics
Cited by 22
- Verified
Assessing the binding properties of CASP14 targets and models
Egbert, M., Ghani, U., Ashizawa, R., Kotelnikov, S., Nguyen, T., Desta, I., Hashemi, N., Padhorny, D., Kozakov, D., & Vajda, S. (2021) · Proteins: Structure, Function, and Bioinformatics
Protein Structure and DynamicsComputational Drug Discovery Methods
Cited by 10
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