LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Your last searches

  1. AU="Pal, Aditya"
  2. AU=Birnkrant David J
  3. AU=Dettenmeier Patricia
  4. AU="Iorio, R."
  5. AU=Bashir Mohamad
  6. AU="Uruchurtu, Ashley S S"
  7. AU="Giuliano, Gabriele"

Search results

Result 1 - 10 of total 15

Search options

  1. Article ; Online: c-di-AMP signaling plays important role in determining antibiotic tolerance phenotypes of Mycobacterium smegmatis.

    Pal, Aditya Kumar / Ghosh, Anirban

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 13127

    Abstract: In this study, we probe the role of secondary messenger c-di-AMP in drug tolerance, which includes both persister and resistant mutant characterization of Mycobacterium smegmatis. Specifically, with the use of c-di-AMP null and overproducing mutants, we ... ...

    Abstract In this study, we probe the role of secondary messenger c-di-AMP in drug tolerance, which includes both persister and resistant mutant characterization of Mycobacterium smegmatis. Specifically, with the use of c-di-AMP null and overproducing mutants, we showed how c-di-AMP plays a significant role in resistance mutagenesis against antibiotics with different mechanisms of action. We elucidated the specific molecular mechanism linking the elevated intracellular c-di-AMP level and high mutant generation and highlighted the significance of non-homology-based DNA repair. Further investigation enabled us to identify the unique mutational landscape of target and non-target mutation categories linked to intracellular c-di-AMP levels. Overall fitness cost of unique target mutations was estimated in different strain backgrounds, and then we showed the critical role of c-di-AMP in driving epistatic interactions between resistance genes, resulting in the evolution of multi-drug tolerance. Finally, we identified the role of c-di-AMP in persister cells regrowth and mutant enrichment upon cessation of antibiotic treatment.
    MeSH term(s) Anti-Bacterial Agents/pharmacology ; Bacterial Proteins/genetics ; Dinucleoside Phosphates ; Drug Tolerance ; Mycobacterium smegmatis/genetics ; Phenotype
    Chemical Substances Anti-Bacterial Agents ; Bacterial Proteins ; Dinucleoside Phosphates ; cyclic diadenosine phosphate
    Language English
    Publishing date 2022-07-30
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-17051-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Author Correction: c-di-AMP signaling plays important role in determining antibiotic tolerance phenotypes of Mycobacterium smegmatis.

    Pal, Aditya Kumar / Ghosh, Anirban

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 16216

    Language English
    Publishing date 2022-09-28
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-20905-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article: Elucidating the role of c-di-AMP in

    Chaudhary, Vikas / Pal, Aditya Kumar / Singla, Mamta / Ghosh, Anirban

    Heliyon

    2023  Volume 9, Issue 5, Page(s) e15686

    Abstract: Cyclic-di-AMP (c-di-AMP) is an important secondary messenger molecule that plays a critical role in monitoring several important cellular processes, especially in several Gram-positive bacteria. In this study, we seek to unravel the physiological ... ...

    Abstract Cyclic-di-AMP (c-di-AMP) is an important secondary messenger molecule that plays a critical role in monitoring several important cellular processes, especially in several Gram-positive bacteria. In this study, we seek to unravel the physiological significance of the molecule c-di-AMP in
    Language English
    Publishing date 2023-04-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e15686
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Intra-protein interactions of SARS-CoV-2 and SARS: a bioinformatic analysis for plausible explanation regarding stability, divergency, and severity.

    Mitra, Debanjan / Pal, Aditya K / Das Mohapatra, Pradeep Kr

    Systems microbiology and biomanufacturing

    2022  Volume 2, Issue 4, Page(s) 653–664

    Abstract: The current nightmare for the whole world is COVID-19. The occurrence of concentrated pneumonia cases in Wuhan city, Hubei province of China, was first reported on December 30, 2019. SARS-CoV first disclosed in 2002 but had not outspread worldwide. After ...

    Abstract The current nightmare for the whole world is COVID-19. The occurrence of concentrated pneumonia cases in Wuhan city, Hubei province of China, was first reported on December 30, 2019. SARS-CoV first disclosed in 2002 but had not outspread worldwide. After 18 years, in 2020, it reemerged and outspread worldwide as SARS-CoV-2 (COVID-19), as the most dangerous virus-creating disease in the world. Is it possible to create a favorable evolution within the short time (18 years)? If possible, then what are those properties or factors that are changed in SARS-CoV-2 to make it undefeated? What are the fundamental differences between SARS-CoV-2 and SARS? The study is one of the initiatives to find out all those queries. Here, four types of protein sequences from SARS-CoV-2 and SARS were retrieved from the database to study their physicochemical and structural properties. Results showed that charged residues are playing a pivotal role in SARS-CoV-2 evolution and contribute to the helix stabilization. The formation of the cyclic salt bridge and other intra-protein interactions specially network aromatic-aromatic interaction also play the crucial role in SAS-CoV-2. This comparative study will help to understand the evolution from SARS to SARS-CoV-2 and helpful in protein engineering.
    Language English
    Publishing date 2022-03-21
    Publishing country Singapore
    Document type Journal Article
    ZDB-ID 3033857-8
    ISSN 2662-7663 ; 2662-7655
    ISSN (online) 2662-7663
    ISSN 2662-7655
    DOI 10.1007/s43393-022-00091-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Elucidating the role of c-di-AMP in Mycobacterium smegmatis: Phenotypic characterization and functional analysis

    Chaudhary, Vikas / Pal, Aditya Kumar / Singla, Mamta / Ghosh, Anirban

    Heliyon. 2023 May, v. 9, no. 5 p.e15686-

    2023  

    Abstract: Cyclic-di-AMP (c-di-AMP) is an important secondary messenger molecule that plays a critical role in monitoring several important cellular processes, especially in several Gram-positive bacteria. In this study, we seek to unravel the physiological ... ...

    Abstract Cyclic-di-AMP (c-di-AMP) is an important secondary messenger molecule that plays a critical role in monitoring several important cellular processes, especially in several Gram-positive bacteria. In this study, we seek to unravel the physiological significance of the molecule c-di-AMP in Mycobacterium smegmatis under different conditions, using strains with altered c-di-AMP levels: c-di-AMP null mutant (ΔdisA) and a c-di-AMP over-expression mutant (Δpde). Our thorough analysis of the mutants revealed that the intracellular concentration of c-di-AMP could determine many basic phenotypes such as colony architecture, cell shape, cell size, membrane permeability etc. Additionally, it was shown to play a significant role in multiple stress adaptation pathways in the case of different DNA and membrane stresses. Our study also revealed how the biofilm phenotypes of M. smegmatis cells are altered with high intracellular c-di-AMP concentration. Next, we checked how c-di-AMP contributes to antibiotic resistance or susceptibility characteristics of M. smegmatis, which was followed by a detailed transcriptome profile analysis to reveal key genes and pathways such as translation, arginine biosynthesis, cell wall and plasma membrane are regulated by c-di-AMP in mycobacteria.
    Keywords DNA ; Mycobacterium smegmatis ; antibiotic resistance ; arginine ; biofilm ; biosynthesis ; cell walls ; membrane permeability ; mutants ; phenotype ; plasma membrane ; second messengers ; transcriptome ; Second messenger ; c-di-AMP ; Stress response ; Antibiotics ; Phenotypic microarray ; RNA-Seq ; DisA ; Pde ; CFU ; WT ; MIC ; PM ; RNA-seq
    Language English
    Dates of publication 2023-05
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e15686
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  6. Article ; Online: Sub-operon promoter arrangement of

    Singla, Mamta / Pal, Aditya Kumar / Chaudhary, Vikas / Behra, Phani Rama Krishna / Ghosh, Anirban

    Journal of biosciences

    2023  Volume 48

    Abstract: Bacterial second messenger signaling often plays an important role in cellular physiology. In this study, we have attempted to understand how c-di-AMP synthesis and degradation are transcriptionally regulated ... ...

    Abstract Bacterial second messenger signaling often plays an important role in cellular physiology. In this study, we have attempted to understand how c-di-AMP synthesis and degradation are transcriptionally regulated in
    MeSH term(s) Mycobacterium smegmatis/genetics ; Mycobacterium smegmatis/metabolism ; Bacterial Proteins/genetics ; Bacterial Proteins/metabolism ; Homeostasis/genetics ; Operon/genetics ; Gene Expression Regulation, Bacterial
    Chemical Substances cyclic diadenosine phosphate ; Bacterial Proteins
    Language English
    Publishing date 2023-07-13
    Publishing country India
    Document type Journal Article
    ZDB-ID 756157-x
    ISSN 0973-7138 ; 0250-5991
    ISSN (online) 0973-7138
    ISSN 0250-5991
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Book ; Online: Anubhuti -- An annotated dataset for emotional analysis of Bengali short stories

    Pal, Aditya / Karn, Bhaskar

    2020  

    Abstract: Thousands of short stories and articles are being written in many different languages all around the world today. Bengali, or Bangla, is the second highest spoken language in India after Hindi and is the national language of the country of Bangladesh. ... ...

    Abstract Thousands of short stories and articles are being written in many different languages all around the world today. Bengali, or Bangla, is the second highest spoken language in India after Hindi and is the national language of the country of Bangladesh. This work reports in detail the creation of Anubhuti -- the first and largest text corpus for analyzing emotions expressed by writers of Bengali short stories. We explain the data collection methods, the manual annotation process and the resulting high inter-annotator agreement of the dataset due to the linguistic expertise of the annotators and the clear methodology of labelling followed. We also address some of the challenges faced in the collection of raw data and annotation process of a low resource language like Bengali. We have verified the performance of our dataset with baseline Machine Learning as well as a Deep Learning model for emotion classification and have found that these standard models have a high accuracy and relevant feature selection on Anubhuti. In addition, we also explain how this dataset can be of interest to linguists and data analysts to study the flow of emotions as expressed by writers of Bengali literature.

    Comment: 4 pages, 6 figures
    Keywords Computer Science - Computation and Language
    Subject code 410
    Publishing date 2020-10-06
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  8. Book ; Online: Vartani Spellcheck -- Automatic Context-Sensitive Spelling Correction of OCR-generated Hindi Text Using BERT and Levenshtein Distance

    Pal, Aditya / Mustafi, Abhijit

    2020  

    Abstract: Traditional Optical Character Recognition (OCR) systems that generate text of highly inflectional Indic languages like Hindi tend to suffer from poor accuracy due to a wide alphabet set, compound characters and difficulty in segmenting characters in a ... ...

    Abstract Traditional Optical Character Recognition (OCR) systems that generate text of highly inflectional Indic languages like Hindi tend to suffer from poor accuracy due to a wide alphabet set, compound characters and difficulty in segmenting characters in a word. Automatic spelling error detection and context-sensitive error correction can be used to improve accuracy by post-processing the text generated by these OCR systems. A majority of previously developed language models for error correction of Hindi spelling have been context-free. In this paper, we present Vartani Spellcheck - a context-sensitive approach for spelling correction of Hindi text using a state-of-the-art transformer - BERT in conjunction with the Levenshtein distance algorithm, popularly known as Edit Distance. We use a lookup dictionary and context-based named entity recognition (NER) for detection of possible spelling errors in the text. Our proposed technique has been tested on a large corpus of text generated by the widely used Tesseract OCR on the Hindi epic Ramayana. With an accuracy of 81%, the results show a significant improvement over some of the previously established context-sensitive error correction mechanisms for Hindi. We also explain how Vartani Spellcheck may be used for on-the-fly autocorrect suggestion during continuous typing in a text editor environment.

    Comment: 5 pages, 3 figures
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
    Subject code 006
    Publishing date 2020-12-14
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  9. Article ; Online: C

    Bag, Kingshuk / Pal, Aditya Kumar / Basu, Subhadip / Singla, Mamta / Sarkar, Biplab / Chatterji, Dipankar / Maiti, Prabal Kumar / Ghosh, Anirban / Jayaraman, Narayanaswamy

    ACS omega

    2023  Volume 8, Issue 23, Page(s) 20513–20523

    Abstract: Hyperphosphorylated nucleotide (p)ppGpp, synthesized by Rel protein, regulates the stringent response pathway responsible for biofilm and persister cell growth in mycobacteria. The discovery of vitamin C as an inhibitor of Rel protein activities raises ... ...

    Abstract Hyperphosphorylated nucleotide (p)ppGpp, synthesized by Rel protein, regulates the stringent response pathway responsible for biofilm and persister cell growth in mycobacteria. The discovery of vitamin C as an inhibitor of Rel protein activities raises the prospect of tetrone lactones to prevent such pathways. The closely related isotetrone lactone derivatives are identified herein as inhibitors of the above processes in a mycobacterium. Synthesis and biochemical evaluations show that an isotetrone possessing phenyl substituent at
    Language English
    Publishing date 2023-05-31
    Publishing country United States
    Document type Journal Article
    ISSN 2470-1343
    ISSN (online) 2470-1343
    DOI 10.1021/acsomega.3c00822
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Book ; Online: PinnerSage

    Pal, Aditya / Eksombatchai, Chantat / Zhou, Yitong / Zhao, Bo / Rosenberg, Charles / Leskovec, Jure

    Multi-Modal User Embedding Framework for Recommendations at Pinterest

    2020  

    Abstract: Latent user representations are widely adopted in the tech industry for powering personalized recommender systems. Most prior work infers a single high dimensional embedding to represent a user, which is a good starting point but falls short in ... ...

    Abstract Latent user representations are widely adopted in the tech industry for powering personalized recommender systems. Most prior work infers a single high dimensional embedding to represent a user, which is a good starting point but falls short in delivering a full understanding of the user's interests. In this work, we introduce PinnerSage, an end-to-end recommender system that represents each user via multi-modal embeddings and leverages this rich representation of users to provides high quality personalized recommendations. PinnerSage achieves this by clustering users' actions into conceptually coherent clusters with the help of a hierarchical clustering method (Ward) and summarizes the clusters via representative pins (Medoids) for efficiency and interpretability. PinnerSage is deployed in production at Pinterest and we outline the several design decisions that makes it run seamlessly at a very large scale. We conduct several offline and online A/B experiments to show that our method significantly outperforms single embedding methods.

    Comment: 10 pages, 7 figures
    Keywords Computer Science - Machine Learning ; Computer Science - Information Retrieval ; Computer Science - Social and Information Networks ; Statistics - Machine Learning
    Subject code 004
    Publishing date 2020-07-07
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

To top