Feng Ding

According to our database, Feng Ding authored at least 26 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Computational insights into the cross-talk between medin and A<i>β</i>: implications for age-related vascular risk factors in Alzheimer's disease.

Fengjuan Huang, Xinjie Fan, Ying Wang, Yu Zou, Jiangfang Lian, Chuang Wang, Feng Ding, Yunxiang Sun

Briefings Bioinform., January, 2024

Uncovering Intermolecular Interactions Driving the Liquid-Liquid Phase Separation of the TDP-43 Low-Complexity Domain via Atomistic Dimerization Simulations.

Huayuan Tang, Yunxiang Sun, Lei Wang, Pu Chun Ke, Feng Ding

J. Chem. Inf. Model., 2024

Deciphering the Morphological Difference of Amyloid-β Fibrils in Familial and Sporadic Alzheimer's Diseases.

Gangtong Huang, Zhiyuan Song, Yun Xu, Yunxiang Sun, Feng Ding

J. Chem. Inf. Model., 2024

Molecular Insights into the Effects of F16L and F19L Substitutions on the Conformation and Aggregation Dynamics of Human Calcitonin.

Fengjuan Huang, Jiahui Huang, Jiajia Yan, Yuying Liu, Jiangfang Lian, Qinxue Sun, Feng Ding, Yunxiang Sun

J. Chem. Inf. Model., 2024

Computational Investigation of Coaggregation and Cross-Seeding between Aβ and hIAPP Underpinning the Cross-Talk in Alzheimer's Disease and Type 2 Diabetes.

Xinjie Fan, Xiaohan Zhang, Jiajia Yan, Huan Xu, Wenhui Zhao, Feng Ding, Fengjuan Huang, Yunxiang Sun

J. Chem. Inf. Model., 2024

2023

Unveiling Medin Folding and Dimerization Dynamics and Conformations via Atomistic Discrete Molecular Dynamics Simulations.

Fengjuan Huang, Xinjie Fan, Ying Wang, Chuang Wang, Yu Zou, Jiangfang Lian, Feng Ding, Yunxiang Sun

J. Chem. Inf. Model., October, 2023

Direct Observation of Seeded Conformational Conversion of hIAPP <i>In Silico</i> Reveals the Mechanisms for Morphological Dependence and Asymmetry of Fibril Growth.

Gangtong Huang, Huayuan Tang, Yuying Liu, Chi Zhang, Pu Chun Ke, Yunxiang Sun, Feng Ding

J. Chem. Inf. Model., September, 2023

SEVI Inhibits Aβ Amyloid Aggregation by Capping the β-Sheet Elongation Edges.

Ying Wang, Jia Xu, Fengjuan Huang, Jiajia Yan, Xinjie Fan, Yu Zou, Chuang Wang, Feng Ding, Yunxiang Sun

J. Chem. Inf. Model., June, 2023

Dissecting the Self-assembly Dynamics of Imperfect Repeats in α-Synuclein.

Fengjuan Huang, Ying Wang, Yu Zhang, Chuang Wang, Jiangfang Lian, Feng Ding, Yunxiang Sun

J. Chem. Inf. Model., June, 2023

Structural Perturbation of Monomers Determines the Amyloid Aggregation Propensity of Calcitonin Variants.

Yuying Liu, Ying Wang, Yu Zhang, Yu Zou, Guanghong Wei, Feng Ding, Yunxiang Sun

J. Chem. Inf. Model., 2023

2022

Hydrophobic/Hydrophilic Ratio of Amphiphilic Helix Mimetics Determines the Effects on Islet Amyloid Polypeptide Aggregation.

Huayuan Tang, Yunxiang Sun, Feng Ding

J. Chem. Inf. Model., 2022

2021

Direct Observation of β-Barrel Intermediates in the Self-Assembly of Toxic SOD128-38 and Absence in Nontoxic Glycine Mutants.

Yunxiang Sun, Junchao Huang, Xiangmei Duan, Feng Ding

J. Chem. Inf. Model., 2021

Misfolding and Self-Assembly Dynamics of Microtubule-Binding Repeats of the Alzheimer-Related Protein Tau.

Huan He, Yuying Liu, Yunxiang Sun, Feng Ding

J. Chem. Inf. Model., 2021

2016

CSAR Benchmark of Flexible MedusaDock in Affinity Prediction and Nativelike Binding Pose Selection.

Praveen Nedumpully-Govindan, Domen B. Jemec, Feng Ding

J. Chem. Inf. Model., 2016

2014

Structural and energetic determinants of tyrosylprotein sulfotransferase sulfation specificity.

Praveen Nedumpully-Govindan, Lin Li, Emil Alexov, Mark A. Blenner, Feng Ding

Bioinform., 2014

2013

Predicting Binding Affinity of CSAR Ligands Using Both Structure-Based and Ligand-Based Approaches.

Denis Fourches, Eugene N. Muratov, Feng Ding, Nikolay V. Dokholyan, Alexander Tropsha

J. Chem. Inf. Model., 2013

Incorporating Backbone Flexibility in MedusaDock Improves Ligand-Binding Pose Prediction in the CSAR2011 Docking Benchmark.

Feng Ding, Nikolay V. Dokholyan

J. Chem. Inf. Model., 2013

2011

Gaia: automated quality assessment of protein structure models.

Pradeep Kota, Feng Ding, Srinivas Ramachandran, Nikolay V. Dokholyan

Bioinform., 2011

2010

Polyglutamine Induced Misfolding of Huntingtin Exon1 is Modulated by the Flanking Sequences.

Vinal V. Lakhani, Feng Ding, Nikolay V. Dokholyan

PLoS Comput. Biol., 2010

Rapid Flexible Docking Using a Stochastic Rotamer Library of Ligands.

Feng Ding, Shuangye Yin, Nikolay V. Dokholyan

J. Chem. Inf. Model., 2010

2008

Active Nuclear Receptors Exhibit Highly Correlated AF-2 Domain Motions.

Denise G. Teotico, Monica L. Frazier, Feng Ding, Nikolay V. Dokholyan, Brenda R. S. Temple, Matthew R. Redinbo

PLoS Comput. Biol., 2008

iFoldRNA: three-dimensional RNA structure prediction and folding.

Shantanu Sharma, Feng Ding, Nikolay V. Dokholyan

Bioinform., 2008

2006

Correction: Emergence of Protein Fold Families through Rational Design.

Feng Ding, Nikolay V. Dokholyan

PLoS Comput. Biol., 2006

Emergence of Protein Fold Families through Rational Design.

Feng Ding, Nikolay V. Dokholyan

PLoS Comput. Biol., 2006

iFold: a platform for interactive folding simulations of proteins.

Shantanu Sharma, Feng Ding, Huifen Nie, Daniel Watson, Aditya Unnithan, Jameson Lopp, Diane Pozefsky, Nikolay V. Dokholyan

Bioinform., 2006

2005

Molecular Origin of Polyglutamine Aggregation in Neurodegenerative Diseases.

Sagar D. Khare, Feng Ding, Kenneth N. Gwanmesia, Nikolay V. Dokholyan

PLoS Comput. Biol., 2005