3D QSAR, pharmacophore and molecular docking studies of known inhibitors and designing of novel inhibitors for M18 aspartyl aminopeptidase of Plasmodium falciparum

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1472-6807

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 3D QSAR, pharmacophore and molecular docking studies of known inhibitors and designing of novel inhibitors for M18 aspartyl aminopeptidase of Plasmodium falciparum ; volume:16 ; number:1 ; day:17 ; month:8 ; year:2016 ; pages:1-11 ; date:12.2016
BMC structural biology ; 16, Heft 1 (17.8.2016), 1-11, 12.2016

Creator: Kumari, Madhulata

Contributor: Chandra, Subhash
Tiwari, Neeraj
Subbarao, Naidu
SpringerLink (Online service)

DOI: 10.1186/s12900-016-0063-7

URN: urn:nbn:de:1111-201609154000

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:52 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Kumari, Madhulata
Chandra, Subhash
Tiwari, Neeraj
Subbarao, Naidu
SpringerLink (Online service)

Other Objects (12)

Development, evaluation and application of 3D QSAR Pharmacophore model in the discovery of potential human renin inhibitors

Discovery of potential FGFR3 inhibitors via QSAR, pharmacophore modeling, virtual screening and molecular docking studies against bladder cancer

In silico screening for identification of novel β-1,3-glucan synthase inhibitors using pharmacophore and 3D-QSAR methodologies

Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

Lead generation of UPPS inhibitors targeting MRSA: Using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamic simulations

CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors

Hochschulschrift

Development and characterisation of inhibitors of the E. coli methionine aminopeptidase

QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors

Investigation of BCRP-inhibitors using QSAR and machine learning methods

Bis-pharmacophore of cinnamaldehyde-clubbed thiosemicarbazones as potent carbonic anhydrase-II inhibitors

QSAR analysis on tacrine-related acetylcholinesterase inhibitors

Pharmacophore-guided discovery of CDC25 inhibitors causing cell cycle arrest and tumor regression

Development, evaluation and application of 3D QSAR Pharmacophore model in the discovery of potential human renin inhibitors

Discovery of potential FGFR3 inhibitors via QSAR, pharmacophore modeling, virtual screening and molecular docking studies against bladder cancer

In silico screening for identification of novel β-1,3-glucan synthase inhibitors using pharmacophore and 3D-QSAR methodologies

Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

Lead generation of UPPS inhibitors targeting MRSA: Using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamic simulations

CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors

Hochschulschrift

Development and characterisation of inhibitors of the E. coli methionine aminopeptidase

QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors

Investigation of BCRP-inhibitors using QSAR and machine learning methods

Bis-pharmacophore of cinnamaldehyde-clubbed thiosemicarbazones as potent carbonic anhydrase-II inhibitors

QSAR analysis on tacrine-related acetylcholinesterase inhibitors

Pharmacophore-guided discovery of CDC25 inhibitors causing cell cycle arrest and tumor regression

Development, evaluation and application of 3D QSAR Pharmacophore model in the discovery of potential human renin inhibitors

Discovery of potential FGFR3 inhibitors via QSAR, pharmacophore modeling, virtual screening and molecular docking studies against bladder cancer

In silico screening for identification of novel β-1,3-glucan synthase inhibitors using pharmacophore and 3D-QSAR methodologies

Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

Lead generation of UPPS inhibitors targeting MRSA: Using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamic simulations

CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors

Hochschulschrift

Development and characterisation of inhibitors of the E. coli methionine aminopeptidase

QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors

Investigation of BCRP-inhibitors using QSAR and machine learning methods

Bis-pharmacophore of cinnamaldehyde-clubbed thiosemicarbazones as potent carbonic anhydrase-II inhibitors

QSAR analysis on tacrine-related acetylcholinesterase inhibitors

Pharmacophore-guided discovery of CDC25 inhibitors causing cell cycle arrest and tumor regression

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

3D QSAR, pharmacophore and molecular docking studies of known inhibitors and designing of novel inhibitors for M18 aspartyl aminopeptidase of Plasmodium falciparum

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Development, evaluation and application of 3D QSAR Pharmacophore model in the discovery of potential human renin inhibitors

Discovery of potential FGFR3 inhibitors via QSAR, pharmacophore modeling, virtual screening and molecular docking studies against bladder cancer

In silico screening for identification of novel β-1,3-glucan synthase inhibitors using pharmacophore and 3D-QSAR methodologies

Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

Lead generation of UPPS inhibitors targeting MRSA: Using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamic simulations

CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors

Development and characterisation of inhibitors of the E. coli methionine aminopeptidase

QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors

Investigation of BCRP-inhibitors using QSAR and machine learning methods

Bis-pharmacophore of cinnamaldehyde-clubbed thiosemicarbazones as potent carbonic anhydrase-II inhibitors

QSAR analysis on tacrine-related acetylcholinesterase inhibitors

Pharmacophore-guided discovery of CDC25 inhibitors causing cell cycle arrest and tumor regression

Development, evaluation and application of 3D QSAR Pharmacophore model in the discovery of potential human renin inhibitors

Discovery of potential FGFR3 inhibitors via QSAR, pharmacophore modeling, virtual screening and molecular docking studies against bladder cancer

In silico screening for identification of novel β-1,3-glucan synthase inhibitors using pharmacophore and 3D-QSAR methodologies

Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

Lead generation of UPPS inhibitors targeting MRSA: Using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamic simulations

CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors

Development and characterisation of inhibitors of the E. coli methionine aminopeptidase

QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors

Investigation of BCRP-inhibitors using QSAR and machine learning methods

Bis-pharmacophore of cinnamaldehyde-clubbed thiosemicarbazones as potent carbonic anhydrase-II inhibitors

QSAR analysis on tacrine-related acetylcholinesterase inhibitors

Pharmacophore-guided discovery of CDC25 inhibitors causing cell cycle arrest and tumor regression

Development, evaluation and application of 3D QSAR Pharmacophore model in the discovery of potential human renin inhibitors

Discovery of potential FGFR3 inhibitors via QSAR, pharmacophore modeling, virtual screening and molecular docking studies against bladder cancer

In silico screening for identification of novel β-1,3-glucan synthase inhibitors using pharmacophore and 3D-QSAR methodologies

Machine learning accelerates pharmacophore-based virtual screening of MAO inhibitors

Lead generation of UPPS inhibitors targeting MRSA: Using 3D-QSAR pharmacophore modeling, virtual screening, molecular docking, and molecular dynamic simulations

CP-MLR directed QSAR study of carbonic anhydrase inhibitors: sulfonamide and sulfamate inhibitors

Development and characterisation of inhibitors of the E. coli methionine aminopeptidase

QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors

Investigation of BCRP-inhibitors using QSAR and machine learning methods

Bis-pharmacophore of cinnamaldehyde-clubbed thiosemicarbazones as potent carbonic anhydrase-II inhibitors

QSAR analysis on tacrine-related acetylcholinesterase inhibitors

Pharmacophore-guided discovery of CDC25 inhibitors causing cell cycle arrest and tumor regression

Related objects

Reset password