Welcome to Dokhlab's Research Portal

The Dokhlab at Penn State College of Medicine focuses on computational approaches to understand complex biological systems. Our research spans molecular modeling, drug discovery, protein engineering, and RNA dynamics.

About us

About us

About us

Research Focus

Research Focus

Our Research Focus

Our laboratory develops and applies computational methods to investigate:

Current Projects

We actively collaborate with experimental laboratories to validate computational predictions and drive new discoveries in molecular biology and biophysics.

Searching for methyllysine-binding aromatic cages

Searching for methyllysine-binding aromatic cages

Ryanodine receptor 1 (RyR1) is an intracellular calcium ion (Ca2+) release channel required for skeletal muscle contraction. Although cryo-electron microscopy identified binding sites of three coactivators Ca2+, ATP and caffeine (CFF), the mechanism of co-regulation and synergy of these activators is unknown. Here, we report allosteric connections among the three ligand binding sites and pore region in (i) Ca2+ bound-closed, (ii) ATP/CFF bound- closed, (iii) Ca2+/ATP/CFF bound-closed, and (iv) Ca2+/ATP/CFF bound-open RyR1 states. We identified two dominant interactions that mediate interactions between the Ca2+ binding site and pore region in Ca2+ bound-closed state, which partially overlapped with the pore communications in ATP/CFF bound-closed RyR1 state. In Ca2+/ATP/CFF bound-closed and -open RyR1 states, co-regulatory interactions were analogous to communications in the Ca2+ bound-closed and ATP/CFF bound- closed states.

Ryanodine receptor 1 (RyR1) is an intracellular calcium ion (Ca2+) release channel required for skeletal muscle contraction. Although cryo-electron microscopy identified binding sites of three coactivators Ca2+, ATP and caffeine (CFF), the mechanism of co-regulation and synergy of these activators is unknown. Here, we report allosteric connections among the three ligand binding sites and pore region in (i) Ca2+ bound-closed, (ii) ATP/CFF bound- closed, (iii) Ca2+/ATP/CFF bound-closed, and (iv) Ca2+/ATP/CFF bound-open RyR1 states. We identified two dominant interactions that mediate interactions between the Ca2+ binding site and pore region in Ca2+ bound-closed state, which partially overlapped with the pore communications in ATP/CFF bound-closed RyR1 state. In Ca2+/ATP/CFF bound-closed and -open RyR1 states, co-regulatory interactions were analogous to communications in the Ca2+ bound-closed and ATP/CFF bound- closed states.

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Inorganic meets organic programming

Inorganic meets organic programming

Virtual screening is a key enabler of computational drug discovery and requires accurate and efficient structure-based molecular docking. In this work, we develop algorithms and software building blocks for molecular docking that can take advantage of graphics processing units (GPUs). Specifically, we focus on MedusaDock, a flexible protein-small molecule docking approach and platform. We accelerate the performance of the coarse docking phase of MedusaDock, as this step constitutes nearly 70% of total running time in typical use-cases. We perform a comprehensive evaluation of the quality and performance with single-GPU and multi-GPU acceleration using a data set of 3875 protein-ligand complexes. The algorithmic ideas, data structure design choices, and performance optimization techniques shed light on GPU acceleration of other structure-based molecular docking software tools.

Virtual screening is a key enabler of computational drug discovery and requires accurate and efficient structure-based molecular docking. In this work, we develop algorithms and software building blocks for molecular docking that can take advantage of graphics processing units (GPUs). Specifically, we focus on MedusaDock, a flexible protein-small molecule docking approach and platform. We accelerate the performance of the coarse docking phase of MedusaDock, as this step constitutes nearly 70% of total running time in typical use-cases. We perform a comprehensive evaluation of the quality and performance with single-GPU and multi-GPU acceleration using a data set of 3875 protein-ligand complexes. The algorithmic ideas, data structure design choices, and performance optimization techniques shed light on GPU acceleration of other structure-based molecular docking software tools.

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GPU-accelerated flexible molecular docking

GPU-accelerated flexible molecular docking

Virtual screening is a key enabler of computational drug discovery and requires accurate and efficient structure-based molecular docking. In this work, we develop algorithms and software building blocks for molecular docking that can take advantage of graphics processing units (GPUs). Specifically, we focus on MedusaDock, a flexible protein-small molecule docking approach and platform. We accelerate the performance of the coarse docking phase of MedusaDock, as this step constitutes nearly 70% of total running time in typical use-cases. We perform a comprehensive evaluation of the quality and performance with single-GPU and multi-GPU acceleration using a data set of 3875 protein-ligand complexes. The algorithmic ideas, data structure design choices, and performance optimization techniques shed light on GPU acceleration of other structure-based molecular docking software tools.

Virtual screening is a key enabler of computational drug discovery and requires accurate and efficient structure-based molecular docking. In this work, we develop algorithms and software building blocks for molecular docking that can take advantage of graphics processing units (GPUs). Specifically, we focus on MedusaDock, a flexible protein-small molecule docking approach and platform. We accelerate the performance of the coarse docking phase of MedusaDock, as this step constitutes nearly 70% of total running time in typical use-cases. We perform a comprehensive evaluation of the quality and performance with single-GPU and multi-GPU acceleration using a data set of 3875 protein-ligand complexes. The algorithmic ideas, data structure design choices, and performance optimization techniques shed light on GPU acceleration of other structure-based molecular docking software tools.

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Methodologies

Our laboratory focuses on developing and applying computational methods to understand complex biological systems. Our primary research areas include:

Many biological processes occur at time scales not accessible to traditional simulation approaches.

Molecular Modeling and Simulations

Many biological processes occur at time scales not accessible to traditional simulation approaches.

Molecular Modeling and Simulations

Many biological processes occur at time scales not accessible to traditional simulation approaches.

Molecular Modeling and Simulations

Many biological processes occur at time scales not accessible to traditional simulation approaches.

Molecular Modeling and Simulations

Uncovering structures of molecular complexes via computational docking is at the heart of virtual drug screening and many structural modeling efforts.

Drug Discovery

Uncovering structures of molecular complexes via computational docking is at the heart of virtual drug screening and many structural modeling efforts.

Drug Discovery

Uncovering structures of molecular complexes via computational docking is at the heart of virtual drug screening and many structural modeling efforts.

Drug Discovery

Uncovering structures of molecular complexes via computational docking is at the heart of virtual drug screening and many structural modeling efforts.

Drug Discovery

Mutagenesis is a valuable exploratory tool in molecular biology and biotechnology.

Protein Design of Tools for Sensing and Controlling Proteins

Mutagenesis is a valuable exploratory tool in molecular biology and biotechnology.

Protein Design of Tools for Sensing and Controlling Proteins

Mutagenesis is a valuable exploratory tool in molecular biology and biotechnology.

Protein Design of Tools for Sensing and Controlling Proteins

Mutagenesis is a valuable exploratory tool in molecular biology and biotechnology.

Protein Design of Tools for Sensing and Controlling Proteins

RNA molecules are known for their central roles in gene expression, splicing, and translation.

RNA structure and dynamics

RNA molecules are known for their central roles in gene expression, splicing, and translation.

RNA structure and dynamics

RNA molecules are known for their central roles in gene expression, splicing, and translation.

RNA structure and dynamics

RNA molecules are known for their central roles in gene expression, splicing, and translation.

RNA structure and dynamics

Faculty Members

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Our Labs Collaborations

We actively collaborate with experimental laboratories to validate computational predictions and drive new discoveries in molecular biology and biophysics.

Recent Publications

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Funding

Our research is supported by grants from:
• National Institutes of Health (NIH)
• National Science Foundation (NSF)

Support our Research

Funding

Our research is supported by grants from:
• National Institutes of Health (NIH)
• National Science Foundation (NSF)

Support our Research

Funding

Our research is supported by grants from:
• National Institutes of Health (NIH)
• National Science Foundation (NSF)

Support our Research

Funding

Our research is supported by grants from:
• National Institutes of Health (NIH)
• National Science Foundation (NSF)

Support our Research