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20 Results Found

  • Article
  • Open Access
22 Citations
6,263 Views
16 Pages

Deciphering the Molecular Recognition Mechanism of Multidrug Resistance Staphylococcus aureus NorA Efflux Pump Using a Supervised Molecular Dynamics Approach

  • Deborah Palazzotti,
  • Maicol Bissaro,
  • Giovanni Bolcato,
  • Andrea Astolfi,
  • Tommaso Felicetti,
  • Stefano Sabatini,
  • Mattia Sturlese,
  • Violetta Cecchetti,
  • Maria Letizia Barreca and
  • Stefano Moro

19 August 2019

The use and misuse of antibiotics has resulted in critical conditions for drug-resistant bacteria emergency, accelerating the development of antimicrobial resistance (AMR). In this context, the co-administration of an antibiotic with a compound able...

  • Feature Paper
  • Article
  • Open Access
6 Citations
4,549 Views
11 Pages

Adenosine receptors (ARs), like many otherGprotein-coupledreceptors (GPCRs), are targets of primary interest indrug design. However, one of the main limits for the development of drugs for this class of GPCRs is the complex selectivity profile usuall...

  • Article
  • Open Access
8 Citations
4,928 Views
15 Pages

29 July 2019

One of the most intriguing findings highlighted from G protein-coupled receptor (GPCR) crystallography is the presence, in many members of class A, of a partially hydrated sodium ion in the middle of the seven transmembrane helices (7TM) bundle. In p...

  • Article
  • Open Access
17 Citations
5,694 Views
12 Pages

Structure-driven fragment-based (SDFB) approaches have provided efficient methods for the identification of novel drug candidates. This strategy has been largely applied in discovering several pharmacological ligand classes, including enzyme inhibito...

  • Article
  • Open Access
2 Citations
2,492 Views
12 Pages

A Pathway Model to Understand the Evolution of Spike Protein Binding to ACE2 in SARS-CoV-2 Variants

  • Ludovico Pipitò,
  • Christopher A. Reynolds,
  • Juan Carlos Mobarec,
  • Owen Vickery and
  • Giuseppe Deganutti

31 October 2022

After the SARS-CoV-2 Wuhan variant that gave rise to the pandemic, other variants named Delta, Omicron, and Omicron-2 sequentially became prevalent, with mutations spread around the viral genome, including on the spike (S) protein; in order to unders...

  • Article
  • Open Access
9 Citations
4,338 Views
16 Pages

The Hydrophobic Ligands Entry and Exit from the GPCR Binding Site-SMD and SuMD Simulations

  • Jakub Jakowiecki,
  • Urszula Orzeł,
  • Sathapana Chawananon,
  • Przemysław Miszta and
  • Sławomir Filipek

21 April 2020

Most G protein-coupled receptors that bind the hydrophobic ligands (lipid receptors and steroid receptors) belong to the most populated class A (rhodopsin-like) of these receptors. Typical examples of lipid receptors are: rhodopsin, cannabinoid (CB),...

  • Article
  • Open Access
17 Citations
3,530 Views
12 Pages

Ribose and Non-Ribose A2A Adenosine Receptor Agonists: Do They Share the Same Receptor Recognition Mechanism?

  • Giovanni Bolcato,
  • Matteo Pavan,
  • Davide Bassani,
  • Mattia Sturlese and
  • Stefano Moro

Adenosine receptors have been a promising class of targets for the development of new therapies for several diseases. In recent years, a renewed interest in this field has risen, thanks to the implementation of a novel class of agonists that lack the...

  • Article
  • Open Access
20 Citations
3,609 Views
14 Pages

A Computational Workflow for the Identification of Novel Fragments Acting as Inhibitors of the Activity of Protein Kinase CK1δ

  • Giovanni Bolcato,
  • Eleonora Cescon,
  • Matteo Pavan,
  • Maicol Bissaro,
  • Davide Bassani,
  • Stephanie Federico,
  • Giampiero Spalluto,
  • Mattia Sturlese and
  • Stefano Moro

9 September 2021

Fragment-Based Drug Discovery (FBDD) has become, in recent years, a consolidated approach in the drug discovery process, leading to several drug candidates under investigation in clinical trials and some approved drugs. Among these successful applica...

  • Article
  • Open Access
6 Citations
2,797 Views
11 Pages

12 October 2020

Fragment-Based Drug Discovery (FBDD) approaches have gained popularity not only in industry but also in academic research institutes. However, the computational prediction of the binding mode adopted by fragment-like molecules within a protein bindin...

  • Article
  • Open Access
7 Citations
3,515 Views
21 Pages

Unsupervised and Supervised Learning over the Energy Landscape for Protein Decoy Selection

  • Nasrin Akhter,
  • Gopinath Chennupati,
  • Kazi Lutful Kabir,
  • Hristo Djidjev and
  • Amarda Shehu

14 October 2019

The energy landscape that organizes microstates of a molecular system and governs the underlying molecular dynamics exposes the relationship between molecular form/structure, changes to form, and biological activity or function in the cell. However,...

  • Review
  • Open Access
14 Citations
7,050 Views
28 Pages

23 October 2023

The plant actin cytoskeleton is characterized by the basic properties of dynamic array, which plays a central role in numerous conserved processes that are required for diverse cellular functions. Here, we focus on how actins and actin-related protei...

  • Article
  • Open Access
16 Citations
5,314 Views
19 Pages

21 December 2019

There is a continuous search for more reliable and effective alternatives to control phytopathogens through different strategies. In this context, indole-containing phytoalexins are stimuli-induced compounds implicated in plant defense against plant...

  • Article
  • Open Access
3 Citations
2,178 Views
13 Pages

19 April 2024

COVID-19 caused by SARS-CoV-2 has spread around the world. The receptor-binding domain (RBD) of the spike protein of SARS-CoV-2 is a critical component that directly interacts with host ACE2. Here, we simulate the ACE2 recognition processes of RBD of...

  • Feature Paper
  • Review
  • Open Access
54 Citations
6,666 Views
16 Pages

Reinforcement Learning for Precision Oncology

  • Jan-Niklas Eckardt,
  • Karsten Wendt,
  • Martin Bornhäuser and
  • Jan Moritz Middeke

15 September 2021

Precision oncology is grounded in the increasing understanding of genetic and molecular mechanisms that underly malignant disease and offer different treatment pathways for the individual patient. The growing complexity of medical data has led to the...

  • Article
  • Open Access
6 Citations
3,822 Views
34 Pages

Hierarchical Coarse-Grained Strategy for Macromolecular Self-Assembly: Application to Hepatitis B Virus-Like Particles

  • Philipp Nicolas Depta,
  • Maksym Dosta,
  • Wolfgang Wenzel,
  • Mariana Kozlowska and
  • Stefan Heinrich

24 November 2022

Macromolecular self-assembly is at the basis of many phenomena in material and life sciences that find diverse applications in technology. One example is the formation of virus-like particles (VLPs) that act as stable empty capsids used for drug deli...

  • Review
  • Open Access
23 Citations
6,661 Views
23 Pages

Data-Driven Modeling Methods and Techniques for Pharmaceutical Processes

  • Yachao Dong,
  • Ting Yang,
  • Yafeng Xing,
  • Jian Du and
  • Qingwei Meng

13 July 2023

As one of the most influential industries in public health and the global economy, the pharmaceutical industry is facing multiple challenges in drug research, development and manufacturing. With recent developments in artificial intelligence and mach...

  • Article
  • Open Access
1 Citations
968 Views
31 Pages

3 September 2025

Molecular dynamics (MD) simulations provide atomistic insights into nucleation and crystallization in polymers, yet interpreting their complex spatiotemporal data remains a challenge. Existing order parameters face limitations, such as failing to acc...

  • Article
  • Open Access
6 Citations
3,152 Views
14 Pages

2 February 2023

Precise binding affinity predictions are essential for structure-based drug discovery (SBDD). Focal adhesion kinase (FAK) is a member of the tyrosine kinase protein family and is overexpressed in a variety of human malignancies. Inhibition of FAK usi...

  • Article
  • Open Access
5 Citations
3,158 Views
18 Pages

DeepIMAGER: Deeply Analyzing Gene Regulatory Networks from scRNA-seq Data

  • Xiguo Zhou,
  • Jingyi Pan,
  • Liang Chen,
  • Shaoqiang Zhang and
  • Yong Chen

27 June 2024

Understanding the dynamics of gene regulatory networks (GRNs) across diverse cell types poses a challenge yet holds immense value in unraveling the molecular mechanisms governing cellular processes. Current computational methods, which rely solely on...

  • Article
  • Open Access
15 Citations
3,983 Views
13 Pages

15 June 2022

Serum is an important candidate in proteomics analysis as it potentially carries key markers on health status and disease progression. However, several important diagnostic markers found in the circulatory proteome and the low-molecular-weight (LMW)...