Original Article

QSAR Study of Fusidic Acid Derivative Compounds as Anti-Malaria Agents Using Artificial Neural Networks-Genetic Algorithms

HAMZAH FAISAL AZMI

March 2020

Malaria is a disease that is dangerous to humans. Various attempts to find a drug that can overcome ...

Research Article CODEN: IJPNL6 QSAR MODELING STUDIES ON 2,4-THIAZOLIDINEDIONES AS POTENTIAL α- GLUCOSIDASE INHIBITORS

S. Kottiah
A. Vasudeva Rao

August 2015

A linear quantitative structure-activity relationship (QSAR) model is presented for modeling and pre...

A quantitative structure–activity relationship study on HIV-1 integrase inhibitors using genetic algorithm, artificial neural networks and different statistical methods

Ghasem Ghasemi
Mahyar Nirouei
Shahab Shariati
Parviz Abdolmaleki
Zinab Rastgoo

September 2016

In this work, quantitative structure–activity relationship (QSAR) study has been done on tricyclic p...

Original Article

L. Saghaie
M. Shahlaei
A. Fassihi

January 2012

Quantitative structure activities relationships of some 2-mercaptoimidazoles as CCR2 inhibitors usin...

Research Article Evaluation of SAR for Amphotericin B Derivatives by Artificial Neural Network

Sardari Dezfulian
Pharmacotherapy Group
S Sardari
M Dezfulian
Sardari Dezfulian

January 2005

Aim: This study was designed to investigate the role of several descriptive structure-activity featu...

Research Article Quantitative Structure-Activity Relationship Analysis of the Anticonvulsant Activity of Some Benzylacetamides Based on Genetic Algorithm-Based Multiple Linear Regression

Trop J Pharm Res
Pharmacotherapy Group
Amir Najafi
Soheil S Ardakani
Mehdi Marjani

January 2010

Purpose: To develop the quantitative structure-activity relationship (QSAR) for predicting the antic...

QSAR Study of the Inhibitors of the Acetyl-CoA Carboxylase 1 and 2 using Bayesian Regularized Genetic Neural Networks: A Comparative Study

Abolfazl Valadkhani (4655551)
Mohammad Asadollahi-Baboli (4655545)
Ahmad Mani-Varnosfaderani (4655548)

December 2017

<div><p>Linear and non-linear quantitative structure-activity relationship (QSAR) models were presen...

Research Article Prediction on the Inhibition Ratio of Pyrrolidine Derivatives on Matrix Metalloproteinase Based on Gene Expression Programming

August 2016

American Journal of Phytomedicine and Clinical Therapeutics www.ajpct.org Original Article Comprehensive Structure Activity Relationship Studies for Angiotensin II Receptor Antagonists as Antihypertensive Agents

Anupama Parate
Rajesh Sharma
Subhash Ch
Ra Chaturvedi

November 2015

Angiotensin II receptor antagonists (ATIIRA) has become an attractive molecular target for drugs tha...

Quantitative Structure-Activity Relationship Study on Thiosemicarbazone Derivatives as Antitubercular agents Using Artificial Neural Network and Multiple Linear Regression

Mehdi Mousavi
Fereidoon Daryaee
Omid Ranjbaran
Behnam Mohseni
Saeideh Taheri
Abdolreza Hassanzadeh

May 2020

Background and purpose: Nonlinear analysis methods for quantitative structure–activity relationship ...

Quantitative Structure-Activity Relationship of Tricyclic Carbapenems: Application of Artificial Intelligence Methods for Bioactivity Prediction

Lebez, Mira
Šolmajer, Tom
Župan, Jure

January 2002

Resistance to antibiotics in bacterial population has widened the interest of Scientific community f...

Quantitative structure-activity relationship study on thiosemicarbazone derivatives as antitubercular agents using artificial neural network and multiple linear regression

Mousavi, M.
Daryaee, F.
Ranjbaran, O.
Mohseni, B.
Taheri, S.
Hassanzadeh, A.

January 2020

Background and purpose: Nonlinear analysis methods for quantitative structureâ��activity relationshi...

Original Article QSAR Study on Anti-HIV-1 Activity of 4-Oxo-1,4-dihydroquinoline and 4-Oxo-4H-pyrido[1,2-a]pyrimidine Derivatives Using SW-MLR, Artificial Neural Network and Filtering Methods

Zahra Hajimahdia
Amin Ranjbarb
Amir Abolfazl Suratgarb
Afshin Zarghia

January 2014

Predictive quantitative structure–activity relationship was performed on the novel4-oxo-1,4-dihydroq...

QSAR STUDY FOR THE PREDICTION OF IC50 FOR 5-N-ACETYL-BETA-D-NEURAMINIC ACID STRUCTURALLY SIMILAR COMPOUNDS USING NEURAL NET

Latha D, Ponmary Pushpa
Raj D, Joseph Pushpa

September 2014

Quantitative structure activity relationship (QSAR) study has been developed for structurally simila...

Relationship between intraocular pressure lowering effect and chemical structure of imidazo[1,2-a]benzimidazole and pyrimido[1,2-a]benzimidazole derivatives

Pavel Vassiliev
Igor Iezhitsa
Renu Agarwal
Adrian Julian Marcus
Alexander Spasov
Olga Zhukovskaya
Vera Anisimova

June 2018

This article contains data that relate to the study carried out in the work of Marcus et al. (2018) ...

QSAR Study of Fusidic Acid Derivative Compounds as Anti-Malaria Agents Using Artificial Neural Networks-Genetic Algorithms

HAMZAH FAISAL AZMI

March 2020

Malaria is a disease that is dangerous to humans. Various attempts to find a drug that can overcome ...

Research Article CODEN: IJPNL6 QSAR MODELING STUDIES ON 2,4-THIAZOLIDINEDIONES AS POTENTIAL α- GLUCOSIDASE INHIBITORS

S. Kottiah
A. Vasudeva Rao

August 2015

A linear quantitative structure-activity relationship (QSAR) model is presented for modeling and pre...

A quantitative structure–activity relationship study on HIV-1 integrase inhibitors using genetic algorithm, artificial neural networks and different statistical methods

Ghasem Ghasemi
Mahyar Nirouei
Shahab Shariati
Parviz Abdolmaleki
Zinab Rastgoo

September 2016

In this work, quantitative structure–activity relationship (QSAR) study has been done on tricyclic p...

Original Article

L. Saghaie
M. Shahlaei
A. Fassihi

January 2012

Quantitative structure activities relationships of some 2-mercaptoimidazoles as CCR2 inhibitors usin...

Research Article Evaluation of SAR for Amphotericin B Derivatives by Artificial Neural Network

Sardari Dezfulian
Pharmacotherapy Group
S Sardari
M Dezfulian
Sardari Dezfulian

January 2005

Aim: This study was designed to investigate the role of several descriptive structure-activity featu...

Research Article Quantitative Structure-Activity Relationship Analysis of the Anticonvulsant Activity of Some Benzylacetamides Based on Genetic Algorithm-Based Multiple Linear Regression

Trop J Pharm Res
Pharmacotherapy Group
Amir Najafi
Soheil S Ardakani
Mehdi Marjani

January 2010

Purpose: To develop the quantitative structure-activity relationship (QSAR) for predicting the antic...

QSAR Study of the Inhibitors of the Acetyl-CoA Carboxylase 1 and 2 using Bayesian Regularized Genetic Neural Networks: A Comparative Study

Abolfazl Valadkhani (4655551)
Mohammad Asadollahi-Baboli (4655545)
Ahmad Mani-Varnosfaderani (4655548)

December 2017

<div><p>Linear and non-linear quantitative structure-activity relationship (QSAR) models were presen...

Research Article Prediction on the Inhibition Ratio of Pyrrolidine Derivatives on Matrix Metalloproteinase Based on Gene Expression Programming

August 2016

American Journal of Phytomedicine and Clinical Therapeutics www.ajpct.org Original Article Comprehensive Structure Activity Relationship Studies for Angiotensin II Receptor Antagonists as Antihypertensive Agents

Anupama Parate
Rajesh Sharma
Subhash Ch
Ra Chaturvedi

November 2015

Angiotensin II receptor antagonists (ATIIRA) has become an attractive molecular target for drugs tha...

Quantitative Structure-Activity Relationship Study on Thiosemicarbazone Derivatives as Antitubercular agents Using Artificial Neural Network and Multiple Linear Regression

Mehdi Mousavi
Fereidoon Daryaee
Omid Ranjbaran
Behnam Mohseni
Saeideh Taheri
Abdolreza Hassanzadeh

May 2020

Background and purpose: Nonlinear analysis methods for quantitative structure–activity relationship ...

Quantitative Structure-Activity Relationship of Tricyclic Carbapenems: Application of Artificial Intelligence Methods for Bioactivity Prediction

Lebez, Mira
Šolmajer, Tom
Župan, Jure

January 2002

Resistance to antibiotics in bacterial population has widened the interest of Scientific community f...

Quantitative structure-activity relationship study on thiosemicarbazone derivatives as antitubercular agents using artificial neural network and multiple linear regression

Mousavi, M.
Daryaee, F.
Ranjbaran, O.
Mohseni, B.
Taheri, S.
Hassanzadeh, A.

January 2020

Background and purpose: Nonlinear analysis methods for quantitative structureâ��activity relationshi...

Original Article QSAR Study on Anti-HIV-1 Activity of 4-Oxo-1,4-dihydroquinoline and 4-Oxo-4H-pyrido[1,2-a]pyrimidine Derivatives Using SW-MLR, Artificial Neural Network and Filtering Methods

Zahra Hajimahdia
Amin Ranjbarb
Amir Abolfazl Suratgarb
Afshin Zarghia

January 2014

Predictive quantitative structure–activity relationship was performed on the novel4-oxo-1,4-dihydroq...

QSAR STUDY FOR THE PREDICTION OF IC50 FOR 5-N-ACETYL-BETA-D-NEURAMINIC ACID STRUCTURALLY SIMILAR COMPOUNDS USING NEURAL NET

Latha D, Ponmary Pushpa
Raj D, Joseph Pushpa

September 2014

Quantitative structure activity relationship (QSAR) study has been developed for structurally simila...

Relationship between intraocular pressure lowering effect and chemical structure of imidazo[1,2-a]benzimidazole and pyrimido[1,2-a]benzimidazole derivatives

Pavel Vassiliev
Igor Iezhitsa
Renu Agarwal
Adrian Julian Marcus
Alexander Spasov
Olga Zhukovskaya
Vera Anisimova

June 2018

This article contains data that relate to the study carried out in the work of Marcus et al. (2018) ...

QSAR Study of Fusidic Acid Derivative Compounds as Anti-Malaria Agents Using Artificial Neural Networks-Genetic Algorithms

HAMZAH FAISAL AZMI

March 2020

Malaria is a disease that is dangerous to humans. Various attempts to find a drug that can overcome ...

Research Article CODEN: IJPNL6 QSAR MODELING STUDIES ON 2,4-THIAZOLIDINEDIONES AS POTENTIAL α- GLUCOSIDASE INHIBITORS

S. Kottiah
A. Vasudeva Rao

August 2015

A linear quantitative structure-activity relationship (QSAR) model is presented for modeling and pre...

A quantitative structure–activity relationship study on HIV-1 integrase inhibitors using genetic algorithm, artificial neural networks and different statistical methods

Ghasem Ghasemi
Mahyar Nirouei
Shahab Shariati
Parviz Abdolmaleki
Zinab Rastgoo

September 2016

In this work, quantitative structure–activity relationship (QSAR) study has been done on tricyclic p...

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Original Article

Abstract

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