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Malancha Karmakar
Malancha Karmakar
Postdoctoral Researcher
在 uni-koeln.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review
D Shaweno, M Karmakar, KA Alene, R Ragonnet, ACA Clements, ...
BMC medicine 16, 1-18, 2018
1132018
ThermoMutDB: a thermodynamic database for missense mutations
JS Xavier, TB Nguyen, M Karmarkar, S Portelli, PM Rezende, JPL Velloso, ...
Nucleic acids research 49 (D1), D475-D479, 2021
662021
Empirical ways to identify novel Bedaquiline resistance mutations in AtpE
M Karmakar, CHM Rodrigues, KE Holt, SJ Dunstan, J Denholm, ...
PloS one 14 (5), e0217169, 2019
632019
Structure guided prediction of Pyrazinamide resistance mutations in pncA
M Karmakar, CHM Rodrigues, K Horan, JT Denholm, DB Ascher
Scientific reports 10 (1), 1875, 2020
622020
Hyper transmission of Beijing lineage Mycobacterium tuberculosis: systematic review and meta-analysis
M Karmakar, JM Trauer, DB Ascher, JT Denholm
Journal of Infection 79 (6), 572-581, 2019
442019
Analysis of a Novel pncA Mutation for Susceptibility to Pyrazinamide Therapy
M Karmakar, M Globan, JAM Fyfe, TP Stinear, PDR Johnson, NE Holmes, ...
American journal of respiratory and critical care medicine 198 (4), 541-544, 2018
412018
Quantifying the rates of late reactivation tuberculosis: a systematic review
KD Dale, M Karmakar, KJ Snow, D Menzies, JM Trauer, JT Denholm
The Lancet Infectious Diseases 21 (10), e303-e317, 2021
352021
HGDiscovery: an online tool providing functional and phenotypic information on novel variants of homogentisate 1, 2-dioxigenase
M Karmakar, V Cicaloni, CHM Rodrigues, O Spiga, A Santucci, DB Ascher
Current Research in Structural Biology 4, 271-277, 2022
102022
In Silico-Based High-Throughput Screen for Discovery of Novel Combinations for Tuberculosis Treatment
R Singh, V Ramachandran, R Shandil, S Sharma, S Khandelwal, ...
Antimicrobial Agents and Chemotherapy 59 (9), 5664-5674, 2015
92015
Estimating tuberculosis drug resistance amplification rates in high-burden settings
M Karmakar, R Ragonnet, DB Ascher, JM Trauer, JT Denholm
BMC Infectious Diseases 22 (1), 82, 2022
52022
Identifying Genotype–Phenotype Correlations via Integrative Mutation Analysis
E Airey, S Portelli, JS Xavier, YC Myung, M Silk, M Karmakar, JPL Velloso, ...
Artificial Neural Networks, 1-32, 2021
52021
A comprehensive computational platform to guide drug development using graph-based signature methods
DEV Pires, S Portelli, PM Rezende, WNP Veloso, JS Xavier, M Karmakar, ...
Structural Bioinformatics: Methods and Protocols, 91-106, 2020
52020
Exploring protein supersecondary structure through changes in protein folding, stability, and flexibility
DEV Pires, CHM Rodrigues, ATS Albanaz, M Karmakar, Y Myung, ...
Protein Supersecondary Structures: Methods and Protocols, 173-185, 2019
52019
Uncovering the molecular drivers of NHEJ DNA repair-implicated missense variants and their functional consequences
R Al-Jarf, M Karmakar, Y Myung, DB Ascher
Genes 14 (10), 1890, 2023
12023
Bioinformatics Approaches to Predict Mutation Effects in the Binding Site of the Proangiogenic Molecule CD93
V Cicaloni, M Karmakar, L Frusciante, F Pettini, A Visibelli, M Orlandini, ...
Frontiers in Bioinformatics 2, 891553, 2022
12022
Concepts and methods for predicting viral evolution
M Meijers, D Ruchnewitz, J Eberhardt, M Karmakar, M Łuksza, M Lässig
ArXiv, 2024
2024
HGDiscovery: an online tool providing functional and phenotypic information on novel variants of homogentisate 1, 2-dioxigenase
M Karmakar, V Cicaloni, CHM Rodrigues, O Spiga, A Santucci, DB Ascher
bioRxiv, 2021.04. 26.441386, 2021
2021
Mycobacterium tuberculosis genome mutations and fitness cost: molecular and epidemiological modelling of functional implications
M KARMAKAR
2021
Current Research in Structural Biology
M Karmakar, V Cicaloni, CHM Rodrigues, O Spiga, A Santucci, DB Ascher
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