![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Maria Kadukova
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j8]Egor Marin
, Margarita Kovaleva, Maria Kadukova
, Khalid Mustafin, Polina Khorn
, Andrey Rogachev, Alexey Mishin, Albert Guskov
, Valentin Borshchevskiy
:
Regression-Based Active Learning for Accessible Acceleration of Ultra-Large Library Docking. J. Chem. Inf. Model. 64(7): 2612-2623 (2024) - 2021
- [b1]Maria Kadukova:
Development of novel algorithms for data-driven prediction of interactions between proteins and small molecules. (Développement de nouveaux modèles, basés sur les données, pour prédire les interactions entre protéines et petites molécules). Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation, 2021 - [j7]Maria Kadukova
, Karina dos Santos Machado
, Pablo Chacón
, Sergei Grudinin
:
KORP-PL: a coarse-grained knowledge-based scoring function for protein-ligand interactions. Bioinform. 37(7): 943-950 (2021) - [j6]Ilia Igashov
, Kliment Olechnovic, Maria Kadukova, Ceslovas Venclovas
, Sergei Grudinin
:
VoroCNN: deep convolutional neural network built on 3D Voronoi tessellation of protein structures. Bioinform. 37(16): 2332-2339 (2021) - 2020
- [j5]Maria Kadukova
, Vladimir Chupin, Sergei Grudinin
:
Docking rigid macrocycles using Convex-PL, AutoDock Vina, and RDKit in the D3R Grand Challenge 4. J. Comput. Aided Mol. Des. 34(2): 191-200 (2020)
2010 – 2019
- 2018
- [j4]Maria Kadukova
, Sergei Grudinin
:
Docking of small molecules to farnesoid X receptors using AutoDock Vina with the Convex-PL potential: lessons learned from D3R Grand Challenge 2. J. Comput. Aided Mol. Des. 32(1): 151-162 (2018) - 2017
- [j3]Maria Kadukova
, Sergei Grudinin
:
Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization. J. Comput. Aided Mol. Des. 31(10): 943-958 (2017) - 2016
- [j2]Sergei Grudinin
, Maria Kadukova
, Andreas Eisenbarth
, Simon Marillet, Frédéric Cazals
:
Predicting binding poses and affinities for protein - ligand complexes in the 2015 D3R Grand Challenge using a physical model with a statistical parameter estimation. J. Comput. Aided Mol. Des. 30(9): 791-804 (2016) - [j1]Maria Kadukova
, Sergei Grudinin
:
Knodle: A Support Vector Machines-Based Automatic Perception of Organic Molecules from 3D Coordinates. J. Chem. Inf. Model. 56(8): 1410-1419 (2016)
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-05 20:19 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint