retrospective docking of -secretase modulators€¦ · research poster presentation design © 2019...

1
RESEARCH POSTER PRESENTATION DESIGN © 2019 www.PosterPresentations.com What Is the -Secretase's role in Alzheimer's Disease (AD)? A major symptom associated with AD is the development of amyloid plaques on the brain, which aid in the progression of neuronal dysfunction. A contributor to these plaque formations is the -secretase, a proteolytic enzyme involved in the sequential cleavage of amyloid precursor protein (APP) into varying lengths of -amyloid (A) peptide products. An AD-related mutation of -secretase can cause an increase in the production ratio of longer A peptides, such as A42. Due to the tangle-prone nature of longer A peptides, their overabundance enhances the likelihood for amyloid aggregates to form and deposit onto the brain. Though these plaques may not be the sole cause of AD, reducing heightened A42 levels may be an effective treatment option for relieving linked symptoms. Research Rationale and Significance 3D enzyme dockings were performed with GSMs to investigate possible modulatory binding sites of the - secretase. Analysis of previously described GSMs was done to determine candidates for ligand-enzyme dockings. Of these, 56 GSMs were selected based on their prominence in producing lower A42:A40 ratios. Using ChemOffice, 2D chemical structures for GSMs were converted into 3D models for docking assessments. Cryo-structure clusters for -secretase were used for extracting representative conformations of the enzyme. Retrospective docking of GSMs to - secretase was conducted through Autodock 4. Docking conformations and binding affinity scores were analyzed to detect notable ligand-enzyme interactions. By compiling and comparing the results from Autodock, locational and sequence-binding tendencies of GSMs were predicted for the -secretase structure displaying the highest overall binding affinities. (Fig. 1) Pymol was used for further analyses and imaging of docking results. METHODS GSMs displayed tendencies for pocketing within - secretase's major cleft. (Figure 2) This positions the GSMs close to the APP substrate, which perhaps enhances their regulation of A42 cleavage products. GSMs were found to associate with specific residues of the - secretase during docking. Though many residues were found to interact with GSMs on at least one occasion, two sequence regions were particularly notable for regular interactions. (Figure 3) These included Leu1 and Phe3 residues of APP, and Lys654, Asp655, and Ile 565 of -secretase's Nicastrin subunit (NCN). While most of the interacted residues were unable to bind to more than 20 types of GSMS, both the NCN and APP region interacted with over 30-40 of the 56 tested GSMs. These results suggest that GSM modulation of -secretase's A cleavage products involves the direct binding with APP. Current work with Miao Lab's collaborators has indicated the Hydrophilic loop-1 (HL-1) of the PEN-1 subunit to potentially be involved in modulation of the -secretase. (Lei Lui et al.) However, the results of the conducted study were unable to show notable interactions in this region of the -secretase. Given the interactions displayed in Figure 4, it may be that different parts of the enzyme are involved in GSM allosteric activity at certain times. The conformation of the -secretase may differ in these parts' abilities to associate with allosteric regulators. It could, perhaps, be that HL-1 is involved in a transfer of the GSM from NCN to APP for regulation. These results shed light on potential candidate sites of the - secretase that can be manipulated to decrease A42 production. However, this study was unable to provide insight on the aspects of GSMs important for -secretase regulation. Future studies will address these characteristics through analysis and dockings of GSM decoy ligands. RESULTS AND DISCUSSION REFERENCES Bursavich, M. G., Harrison, B. A., & Blain, J.F. (2016). Gamma Secretase Modulators:New Alzheimer’s Drugs on the Horizon? Journal of Medicinal Chemistry, 59(16), 7389–7409. Lei Liu, B. L., Michael S. Wolfe#, Dennis J. Selkoe*. Hydrophilic loop-1 of presenilin-1 is critical for γ-secretase processivityand allosteric modulation by heterocyclic-type modulators[In Prep] The study wished to provide insight on how - secretase is modulated to decrease A42 production. The -secretase is involved in many essential biological processes, such as Notch signaling. This makes a total inhibition of the enzyme's function detrimental. Therefore, it is perhaps beneficial to search for a means of selectively reducing the amount of A42 cleavage products made. Multiple chemical compounds, referred to as - secretase modulators (GSMs), have been found to regulate the -secretase in a manner that influences A42:A40 ratio. (Bursavich et al.) However, the characteristics of these GSM binding sites have yet to be disclosed. The purpose of the conducted study was to identify a potential allosteric site on the -secretase involved in the regulation of its A cleavage product ratio. Determining the location and amino acid sequences of this binding site can be of importance in pharmaceutical designs for AD treatment. Center for Computational Biology and Department of Molecular Biosciences, University of Kansas, Lawrence, KS 66047, USA Hailey Young, Apurba Bhattarai, Waseem Ahmad, Yinglong Miao Retrospective docking of -secretase modulators Figure 1. A conformational representation of -secretase bound to APP. This structure produced the highest binding affinities out of ten varying APP-bound -secretase conformations in GSM docking. Subunits of -secretase: Nicastrin (NCN), Presenilin-1 (PEN-1), Prensenilin-2 (PEN-2), and ALPH-1A (ALPH-1). NCN PEN-2 PEN-1 ALPH-1 APP Figure 2. Localization of GSM's from Autodock 4 results. Individual binding results corresponding to the 56 different GSM types were displayed all at once using Pymol. GSMs are colored bright red. GSM clustering suggest a preference for certain amino acid sequences of the -secretase. Figure. 4. A depiction of potential enzyme-ligand interactions and subunits involved in -Secretase allosteric modulation. Subunits: APP (yellow), Hydrophilic loop-1 (HL-1) of PEN-1 (magenta). The light blue portion of APP is representative of the region containing Leu1 and Phe3. The green region is the sequence in NCN containing Lys654, Asp655, and Ile 565. The darker purple regions of the HL-1 that has been suggested by Lei Liu et al, Tyr106, Leu113, and Tyr 115. Figure 3. A graph illustrating residues and the amount of GSM types they interacted with out of 56. Displayed resides are those contained in sequence regions that had the most interactions with GSMs. Green represents residues from NCN, and yellow represents residues from APP.

Upload: others

Post on 29-Sep-2020

3 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Retrospective docking of -secretase modulators€¦ · RESEARCH POSTER PRESENTATION DESIGN © 2019 What Is the !-Secretase's role in Alzheimer's Disease (AD)? A major symptom associated

RESEARCH POSTER PRESENTATION DESIGN © 2019

www.PosterPresentations.com

What Is the 𝛾-Secretase's role in Alzheimer's Disease (AD)?

A major symptom associated with AD is the development of amyloid plaques on the brain, which aid in the progression of neuronal dysfunction. A contributor to these plaque formations is the 𝛾-secretase, a proteolytic enzyme involved in the sequential cleavage of amyloid precursor protein (APP) into varying lengths of 𝛽-amyloid (A𝛽) peptide products. An AD-related mutation of 𝛾-secretase can cause an increase in the production ratio of longer A𝛽 peptides, such as A𝛽42. Due to the tangle-prone nature of longer A𝛽 peptides, their overabundance enhances the likelihood for amyloid aggregates to form and deposit onto the brain. Though these plaques may not be the sole cause of AD, reducing heightened A𝛽42 levels may be an effective treatment option for relieving linked symptoms. 

Research Rationale and Significance

3D enzyme dockings were performed with GSMs to investigate possible modulatory binding sites of the 𝛾-secretase. Analysis of previously described GSMs was done to determine candidates for ligand-enzyme dockings. Of these, 56 GSMs were selected based on their prominence in producing lower A𝛽42:A𝛽40 ratios. Using ChemOffice, 2D chemical structures for GSMs were converted into 3D models for docking assessments. Cryo-structure clusters for 𝛾-secretase were used for extracting representative conformations of the enzyme. Retrospective docking of GSMs to 𝛾-secretase was conducted through Autodock 4. Docking conformations and binding affinity scores were analyzed to detect notable ligand-enzyme interactions. By compiling and comparing the results from Autodock, locational and sequence-binding tendencies of GSMs were predicted for the 𝛾-secretase structure displaying the highest overall binding affinities. (Fig. 1) Pymol was used for further analyses and imaging of docking results. 

METHODS

GSMs displayed tendencies for pocketing within 𝛾-secretase's major cleft. (Figure 2) This positions the GSMs close to the APP substrate, which perhaps enhances their regulation of A𝛽42 cleavage products.GSMs were found to associate with specific residues of the 𝛾-secretase during docking. Though many residues were found to interact with GSMs on at least one occasion, two sequence regions were particularly notable for regular interactions. (Figure 3) These included Leu1 and Phe3 residues of APP, and Lys654, Asp655, and Ile 565 of 𝛾-secretase's Nicastrin subunit (NCN). While most of the interacted residues were unable to bind to more than 20 types of GSMS, both the NCN and APP region interacted with over 30-40 of the 56 tested GSMs. These results suggest that GSM modulation of  𝛾-secretase's A𝛽 cleavage products involves the direct binding with APP. Current work with Miao Lab's collaborators has indicated the Hydrophilic loop-1 (HL-1) of the PEN-1 subunit to potentially be involved in modulation of the 𝛾-secretase. (Lei Lui et al.) However, the results of the conducted study were unable to show notable interactions in this region of the 𝛾-secretase. Given the interactions displayed in Figure 4, it may be that different parts of the enzyme are involved in GSM allosteric activity at certain times. The conformation of the 𝛾-secretase may differ in these parts' abilities to associate with allosteric regulators. It could, perhaps, be that HL-1 is involved in a transfer of the GSM from NCN to APP for regulation. These results shed light on potential candidate sites of the  𝛾-secretase that can be manipulated to decrease A𝛽42 production. However, this study was unable to provide insight on the aspects of GSMs important for  𝛾-secretase regulation. Future studies will address these characteristics through analysis and dockings of GSM decoy ligands.   

RESULTS AND DISCUSSION

REFERENCES

Bursavich, M. G., Harrison, B. A., &  Blain, J.F. (2016). Gamma Secretase Modulators:New Alzheimer’s Drugs on the Horizon? Journal of Medicinal Chemistry, 59(16), 7389–7409.  Lei Liu, B. L., Michael S. Wolfe#, Dennis J. Selkoe*. Hydrophilic loop-1 of presenilin-1 is critical for γ-secretase processivityand allosteric modulation by heterocyclic-type modulators[In Prep]

The study wished to provide insight on how 𝛾-secretase is modulated to decrease A𝛽42 production. The 𝛾-secretase is involved in many essential biological processes, such as Notch signaling. This makes a total inhibition of the enzyme's function detrimental. Therefore, it is perhaps beneficial to search for a means of selectively reducing the amount of A𝛽42 cleavage products made. Multiple chemical compounds, referred to as 𝛾-secretase modulators (GSMs), have been found to regulate the 𝛾-secretase in a manner that influences A𝛽42:A𝛽40 ratio. (Bursavich et al.) However, the characteristics of these GSM binding sites have yet to be disclosed. The purpose of the conducted study was to identify a potential allosteric site on the 𝛾-secretase involved in the regulation of its A𝛽 cleavage product ratio. Determining the location and amino acid sequences of this binding site can be of importance in pharmaceutical designs for AD treatment. 

Center for Computational Biology and Department of Molecular Biosciences,  University of Kansas, Lawrence, KS 66047, USA

Hailey Young, Apurba Bhattarai, Waseem Ahmad, Yinglong Miao 

Retrospective docking of 𝛾-secretase modulators

Figure 1.  A conformational representation of 𝛾-secretase bound to APP. This structure produced the highest binding affinities out of ten varying APP-bound 𝛾-secretase conformations in GSM docking. Subunits of 𝛾-secretase: Nicastrin (NCN), Presenilin-1 (PEN-1), Prensenilin-2 (PEN-2), and ALPH-1A (ALPH-1).

NCN

PEN-2

PEN-1

ALPH-1APP

Figure 2. Localization of GSM's from Autodock 4 results. Individual binding results corresponding to the 56 different GSM types were displayed all at once using Pymol. GSMs are colored bright red.  GSM clustering suggest a preference for certain amino acid sequences of the 𝛾-secretase.

Figure. 4. A depiction of potential enzyme-ligand interactions and subunits involved in 𝛾-Secretase allosteric modulation. Subunits: APP (yellow), Hydrophilic loop-1 (HL-1) of PEN-1 (magenta). The light blue portion of APP is representative of the region containing Leu1 and Phe3. The green region is the sequence in NCN containing Lys654, Asp655, and Ile 565. The darker purple regions of the HL-1 that has been suggested by Lei Liu et al, Tyr106, Leu113, and Tyr 115.

Figure 3. A graph illustrating residues and the amount of GSM types they interacted with out of 56. Displayed resides are those contained in sequence regions that had the most interactions with GSMs. Green represents residues from NCN, and yellow represents residues from APP.