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- Volume 19, Issue 5, 2022
Current Proteomics - Volume 19, Issue 5, 2022
Volume 19, Issue 5, 2022
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Unraveling Major Proteins of Mycobacterium tuberculosis Envelope
Authors: Rananjay Singh, Devesh Sharma, Divakar Sharma, Sakshi Gautam, Mahendra K. Gupta and Deepa BishtAlthough treatable, resistant form of tuberculosis (TB) has posed a major impediment to the effective TB control programme. As the Mycobacterium tuberculosis cell envelope is closely associated with its virulence and resistance, it is very important to understand the cell envelope for better treatment of causative pathogens. Cell membrane plays a crucial role in imparting various cell functions. Proteins being the fu Read More
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Methanol and Sorbitol Affect the Molecular Dynamics of Arginine Deiminase: Insights for Improving its Stability
Authors: Mahboubeh Zarei, Soudabeh Sabetian, Mohammad Reza Rahbar and Manica NegahdaripourBackground: The arginine deiminase enzyme of Mycoplasma arginini (MaADI) is a potential anti-cancer agent for treating arginine-auxotrophic cancers. Investigating the protein stability in the presence of osmolytes can help to increase protein stability under various stressed conditions. Methods: In this study, the stability and dynamics of MaADI were investigated in pure water and solutions of 1 M sorbitol, 10% (v/v) meth Read More
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Analysis of Membrane Proteins of Streptomycin-Resistant Mycobacterium tuberculosis Isolates
Authors: Rananjay Singh, Devesh Sharma, Divakar Sharma, Mahendra K. Gupta and Deepa BishtBackground: Drug-resistant tuberculosis remains a health security threat and resistance to second-line drugs limits the options for treatment. Consequently, there is an utmost need for identifying and characterizing new biomarkers/drug targets of prime importance. Membrane proteins have an anticipated role in biological processes and could qualify as biomarkers/drug targets. Streptomycin (SM) is recommended as a s Read More
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Predicting the Secondary Structure of Proteins: A Deep Learning Approach
Authors: Charu Kathuria, Deepti Mehrotra and Navnit K. MisraBackground: The machine learning computation paradigm touched new horizons with the development of deep learning architectures. It is widely used in complex problems and achieved significant results in many traditional applications like protein structure prediction, speech recognition, traffic management, health diagnostic systems and many more. Especially, Convolution neural network (CNN) has revolutionized visual Read More
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Heavy Metal Stress Tolerance by Serratia nematodiphila sp. MB307: Insights from Mass Spectrometry-based Proteomics
Authors: Zarrin Basharat, Kyung-Mee Moon, Leonard J. Foster and Azra YasminBackground: Heavy metals impact living organisms deleteriously when they exceed the required limits. Their remediation by bacteria is a much-pursued area of environmental research. In this study, we explored the quantitative changes of four heavy metals (cadmium, chromium, zinc, copper), on the global and membrane proteome of gram-negative S. nematodiphila MB307. This is a versatile bacterium, isolated from t Read More
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Volumes & issues
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Volume 21 (2024)
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Volume 20 (2023)
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Volume 19 (2022)
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Volume 18 (2021)
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Volume 17 (2020)
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Volume 16 (2019)
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Volume 15 (2018)
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Volume 14 (2017)
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Volume 13 (2016)
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Volume 12 (2015)
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Volume 11 (2014)
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Volume 10 (2013)
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Volume 9 (2012)
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Volume 8 (2011)
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Volume 7 (2010)
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Volume 6 (2009)
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Volume 5 (2008)
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Volume 4 (2007)
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Volume 3 (2006)
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Volume 2 (2005)
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Volume 1 (2004)
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