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experimental models mcf 7 p53 mvenus batchelor et  (ATCC)
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ATCC experimental models mcf 7 p53 mvenus batchelor et
Experimental Models Mcf 7 P53 Mvenus Batchelor Et, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multiphysics 6.0 software  (COMSOL Inc)
90
COMSOL Inc multiphysics 6.0 software
Multiphysics 6.0 Software, supplied by COMSOL Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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recombinant proteins fluorescein alexa647 succinimidyl ester spectrum chemical invitrogen cas 2321 07 5 a20006 experimental models  (Thermo Fisher)
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Thermo Fisher recombinant proteins fluorescein alexa647 succinimidyl ester spectrum chemical invitrogen cas 2321 07 5 a20006 experimental models
Recombinant Proteins Fluorescein Alexa647 Succinimidyl Ester Spectrum Chemical Invitrogen Cas 2321 07 5 A20006 Experimental Models, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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mathematical model mtor rapamycin systems biology systems pharmacology  (Cell Signaling Technology Inc)
96
Cell Signaling Technology Inc mathematical model mtor rapamycin systems biology systems pharmacology
Fig. 1. <t>mTOR</t> complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.
Mathematical Model Mtor Rapamycin Systems Biology Systems Pharmacology, supplied by Cell Signaling Technology Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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r version 4 22  (STATA Corporation)
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STATA Corporation r version 4 22
Fig. 1. <t>mTOR</t> complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.
R Version 4 22, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cell counting assay thermo fisher scientific 22 600 100 trypan blue viability assay sigma aldrich 72 57 1 experimental models  (Thermo Fisher)
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Thermo Fisher cell counting assay thermo fisher scientific 22 600 100 trypan blue viability assay sigma aldrich 72 57 1 experimental models
Fig. 1. <t>mTOR</t> complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.
Cell Counting Assay Thermo Fisher Scientific 22 600 100 Trypan Blue Viability Assay Sigma Aldrich 72 57 1 Experimental Models, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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cell counting assay thermo fisher scientific 22 600 100 trypan blue viability assay sigma aldrich 72 57 1 experimental models - by Bioz Stars, 2026-09
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minitab 22  (Minitab Inc)
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Minitab Inc minitab 22
Fig. 1. <t>mTOR</t> complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.
Minitab 22, supplied by Minitab Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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v 22  (STATA Corporation)
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STATA Corporation v 22
Fig. 1. <t>mTOR</t> complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.
V 22, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/software+programs+mathematics%2C+version+2%2E2/STATA+13%2E0/pmc07074375-188-8-24
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sodium chloride  (Merck KGaA)
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Merck KGaA sodium chloride
Fig. 1. <t>mTOR</t> complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.
Sodium Chloride, supplied by Merck KGaA, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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r statistical software package v 4.0.2  (RStudio)
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RStudio r statistical software package v 4.0.2
Fig. 1. <t>mTOR</t> complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.
R Statistical Software Package V 4.0.2, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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inductor vishay ihlp6767gzer220m11 22  (Vishay Inc)
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Vishay Inc inductor vishay ihlp6767gzer220m11 22
Fig. 1. <t>mTOR</t> complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.
Inductor Vishay Ihlp6767gzer220m11 22, supplied by Vishay Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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hela s3  (ATCC)
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ATCC hela s3
Fig. 1. <t>mTOR</t> complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.
Hela S3, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Fig. 1. mTOR complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.

Journal: Journal of theoretical biology

Article Title: Dynamic modeling of signal transduction by mTOR complexes in cancer.

doi: 10.1016/j.jtbi.2019.109992

Figure Lengend Snippet: Fig. 1. mTOR complex organization and functions. mTOR plays its role in signal integration through two distinct complexes (mTORC1 and mTORC2). Each of these compo- nents is responsible for transducing appropriate signals into distinct responses.

Article Snippet: Contents lists available at ScienceDirect Journal of Theoretical Biology journal homepage: www.elsevier.com/locate/jtb Dynamic modeling of signal transduction by mTOR complexes in cancer Mohammadreza Dorvash a , b , 1 , Mohammad Farahmandnia b , c , 1 , Pouria Mosaddeghi a , b , c , 1 , Mitra Farahmandnejad a , b , c , Hosein Saber a , c , Mohammadhossein Khorraminejad-Shirazi b , c , Amir Azadi a , d , Iman Tavassoly e , ∗ a Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, Iran b Cell and Molecular Medicine Student Research Group, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran c Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran d Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran e Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY 10029, USA a r t i c l e i n f o Article history: Received 10 May 2019 Revised 5 August 2019 Accepted 2 September 2019 Available online 4 September 2019 Keywords: Cell Signaling Mathematical Model mTOR Rapamycin Systems Biology Systems pharmacology a b s t r a c t Signal integration has a crucial role in the cell fate decision and dysregulation of the cellular signaling pathways is a primary characteristic of cancer.

Techniques:

Fig. 2. The schematic interaction diagram representing the mechanism of inhibition of mTOR by rapamycin. (Thicker arrows represent higher rate constant for that direction).

Journal: Journal of theoretical biology

Article Title: Dynamic modeling of signal transduction by mTOR complexes in cancer.

doi: 10.1016/j.jtbi.2019.109992

Figure Lengend Snippet: Fig. 2. The schematic interaction diagram representing the mechanism of inhibition of mTOR by rapamycin. (Thicker arrows represent higher rate constant for that direction).

Article Snippet: Contents lists available at ScienceDirect Journal of Theoretical Biology journal homepage: www.elsevier.com/locate/jtb Dynamic modeling of signal transduction by mTOR complexes in cancer Mohammadreza Dorvash a , b , 1 , Mohammad Farahmandnia b , c , 1 , Pouria Mosaddeghi a , b , c , 1 , Mitra Farahmandnejad a , b , c , Hosein Saber a , c , Mohammadhossein Khorraminejad-Shirazi b , c , Amir Azadi a , d , Iman Tavassoly e , ∗ a Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, Iran b Cell and Molecular Medicine Student Research Group, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran c Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran d Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran e Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY 10029, USA a r t i c l e i n f o Article history: Received 10 May 2019 Revised 5 August 2019 Accepted 2 September 2019 Available online 4 September 2019 Keywords: Cell Signaling Mathematical Model mTOR Rapamycin Systems Biology Systems pharmacology a b s t r a c t Signal integration has a crucial role in the cell fate decision and dysregulation of the cellular signaling pathways is a primary characteristic of cancer.

Techniques: Inhibition

Fig. 3. Temporal concentration of rapamycin for regimens I–IV. Since the plasma protein binding of the rapamycin is set aside, the concentration of free Cytosolic rapamycin is equal to its total concentration. Each regimen is simulated while scanning the “amount ± 20%” area (linearly stepped) around the dose administered. (A) Regimen Ⅰ : 8.0 × 10 −20 ± 20% mole/Day; (B) Regimen Ⅱ : 5.6 × 10 −19 ± 20% mole/Day; (C) Regimen Ⅲ : 5.6 × 10 −19 ± 20% mole/Week; and (D) Regimen Ⅳ : 2.24 × 10 −18 ± 20% mole/ Week.

Journal: Journal of theoretical biology

Article Title: Dynamic modeling of signal transduction by mTOR complexes in cancer.

doi: 10.1016/j.jtbi.2019.109992

Figure Lengend Snippet: Fig. 3. Temporal concentration of rapamycin for regimens I–IV. Since the plasma protein binding of the rapamycin is set aside, the concentration of free Cytosolic rapamycin is equal to its total concentration. Each regimen is simulated while scanning the “amount ± 20%” area (linearly stepped) around the dose administered. (A) Regimen Ⅰ : 8.0 × 10 −20 ± 20% mole/Day; (B) Regimen Ⅱ : 5.6 × 10 −19 ± 20% mole/Day; (C) Regimen Ⅲ : 5.6 × 10 −19 ± 20% mole/Week; and (D) Regimen Ⅳ : 2.24 × 10 −18 ± 20% mole/ Week.

Article Snippet: Contents lists available at ScienceDirect Journal of Theoretical Biology journal homepage: www.elsevier.com/locate/jtb Dynamic modeling of signal transduction by mTOR complexes in cancer Mohammadreza Dorvash a , b , 1 , Mohammad Farahmandnia b , c , 1 , Pouria Mosaddeghi a , b , c , 1 , Mitra Farahmandnejad a , b , c , Hosein Saber a , c , Mohammadhossein Khorraminejad-Shirazi b , c , Amir Azadi a , d , Iman Tavassoly e , ∗ a Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, Iran b Cell and Molecular Medicine Student Research Group, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran c Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran d Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran e Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY 10029, USA a r t i c l e i n f o Article history: Received 10 May 2019 Revised 5 August 2019 Accepted 2 September 2019 Available online 4 September 2019 Keywords: Cell Signaling Mathematical Model mTOR Rapamycin Systems Biology Systems pharmacology a b s t r a c t Signal integration has a crucial role in the cell fate decision and dysregulation of the cellular signaling pathways is a primary characteristic of cancer.

Techniques: Concentration Assay, Clinical Proteomics, Protein Binding

Fig. 5. Temporal concentration of rapamycin, mTORC1, and mTORC2 for different absorption and elimination rate constants (macro-constants) of rapamycin: the K abs@Rapam and K el@Rapam were scanned jointly in an area within a percentage range logarithmically spaced from −2 logs to + 2 logs using three steps each, making nine possible combinations for these kinetic parameters. The reference dose used for this parameter scan is 5.0 × 10 −19 mole/Day (regimen Ⅱ ). The plot at the center is where the K abs@Rapam and K el@Rapam are at their initial values. (K abs@Rapam = absorption rate constant; K el@Rapam = elimination rate constant).

Journal: Journal of theoretical biology

Article Title: Dynamic modeling of signal transduction by mTOR complexes in cancer.

doi: 10.1016/j.jtbi.2019.109992

Figure Lengend Snippet: Fig. 5. Temporal concentration of rapamycin, mTORC1, and mTORC2 for different absorption and elimination rate constants (macro-constants) of rapamycin: the K abs@Rapam and K el@Rapam were scanned jointly in an area within a percentage range logarithmically spaced from −2 logs to + 2 logs using three steps each, making nine possible combinations for these kinetic parameters. The reference dose used for this parameter scan is 5.0 × 10 −19 mole/Day (regimen Ⅱ ). The plot at the center is where the K abs@Rapam and K el@Rapam are at their initial values. (K abs@Rapam = absorption rate constant; K el@Rapam = elimination rate constant).

Article Snippet: Contents lists available at ScienceDirect Journal of Theoretical Biology journal homepage: www.elsevier.com/locate/jtb Dynamic modeling of signal transduction by mTOR complexes in cancer Mohammadreza Dorvash a , b , 1 , Mohammad Farahmandnia b , c , 1 , Pouria Mosaddeghi a , b , c , 1 , Mitra Farahmandnejad a , b , c , Hosein Saber a , c , Mohammadhossein Khorraminejad-Shirazi b , c , Amir Azadi a , d , Iman Tavassoly e , ∗ a Pharmaceutical Sciences Research Center, Shiraz University of Medical Sciences, Shiraz, Iran b Cell and Molecular Medicine Student Research Group, Faculty of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran c Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran d Department of Pharmaceutics, School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran e Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, 1425 Madison Ave, New York, NY 10029, USA a r t i c l e i n f o Article history: Received 10 May 2019 Revised 5 August 2019 Accepted 2 September 2019 Available online 4 September 2019 Keywords: Cell Signaling Mathematical Model mTOR Rapamycin Systems Biology Systems pharmacology a b s t r a c t Signal integration has a crucial role in the cell fate decision and dysregulation of the cellular signaling pathways is a primary characteristic of cancer.

Techniques: Concentration Assay