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/vufind/Search/Results?lookfor=Person:%22Kumari%2C+Madhulata%22
/vufind/Search/Results?lookfor=Person:%22Kumari%2C+Madhulata%22
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PubPharm (18)
1
Convolutional neural network-based quantitative structure-activity relationship and fingerprint analysis against inhibitors of anthrax lethal factor
enthalten in:
Future medicinal chemistry
| 2023
von
Kumari, M.
|
Subbarao, N.
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2
Discovery of multi-target mur enzymes inhibitors with anti-mycobacterial activity through a Scaffold approach
enthalten in:
Journal of biomolecular structure & dynamics
| 2023
von
Kumari, M.
|
Waseem, M.
|
Subbarao, N.
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3
Development of a deep learning-based quantitative structure-activity relationship model to identify potential inhibitors against the 3C-like protease of SARS-CoV-2
enthalten in:
Future medicinal chemistry
| 2022
von
Kumari, M.
|
Subbarao, N.
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4
Identification of novel multitarget antitubercular inhibitors against mycobacterial peptidoglycan biosynthetic Mur enzymes by structure-based virtual screening
enthalten in:
Journal of biomolecular structure & dynamics
| 2022
von
Kumari, M.
|
Subbarao, N.
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5
A hybrid resampling algorithms SMOTE and ENN based deep learning models for identification of Marburg virus inhibitors
enthalten in:
Future medicinal chemistry
| 2022
von
Kumari, M.
|
Subbarao, N.
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6
Exploring the interaction mechanism between potential inhibitor and multi-target Mur enzymes of mycobacterium tuberculosis using molecular docking, molecular dynamics simulation, principal component analysis, free energy landscape, dynamic cross-correlation matrices, vector movements, and binding free energy calculation
enthalten in:
Journal of biomolecular structure & dynamics
| 2022
von
Kumari, M.
|
Singh, R.
|
Subbarao, N.
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7
A hybrid resampling algorithms SMOTE and ENN based deep learning models for identification of Marburg virus inhibitors
enthalten in:
Future medicinal chemistry
| 2022
von
Kumari, M.
|
Subbarao, N.
Wird geladen...
8
Development of a deep learning-based quantitative structure–activity relationship model to identify potential inhibitors against the 3C-like protease of SARS-CoV-2
enthalten in:
Future medicinal chemistry
| 2022
von
Kumari, M.
|
Subbarao, N.
Wird geladen...
9
Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases
enthalten in:
Computers in biology and medicine
| 2021
von
Kumari, M.
|
Subbarao, N.
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10
Virtual screening to identify novel potential inhibitors for Glutamine synthetase of Mycobacterium tuberculosis
enthalten in:
Journal of biomolecular structure & dynamics
| 2020
von
Kumari, M.
|
Subbarao, N.
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Zeitschriftentitel
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Future medicinal chemistry
4
Journal of biomolecular structure & dynamics
3
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2
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Thema
13
Journal Article
5
Molecular docking
5
convolutional neural network
4
HTVS
4
Mycobacterium tuberculosis
4
Research Support, Non-U.S. Gov't
4
virtual screening
3
3CLpro
3
3D QSAR
3
Antitubercular Agents
3
COVID-19
3
EC 3.4.-
3
M18 aspartyl aminopeptidase
3
MD simulation
3
PCR
3
PLSR
3
Pharmacophore modeling
3
SARS-CoV
3
deep learning
3
dynamic cross-correlation matrices
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Erscheinungszeitraum
11
2020-
7
2010-2019
Erscheinungsjahr(e)
Von:
Bis:
Sprache
18
Englisch
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