Debasis Dash

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Debasis Dash
Born (1972-06-17) 17 June 1972 (age 52)
Bhubaneswar, India
NationalityIndian
Known forStudies on computational biology
Awards
Scientific career
Fields
Institutions

Debasis Dash is an Indian computational biologist and chief scientist at the Institute of Genomics and Integrative Biology (IGIB). [1] [2] Known for his research on proteomics [3] [4] [5] and Big Data and Artificial Intelligence studies, [6] [7] his studies have been documented by way of a number of articles [8] and ResearchGate, [9] an online repository of scientific articles has listed 120 of them. [10] The Department of Biotechnology of the Government of India awarded him the National Bioscience Award for Career Development, one of the highest Indian science awards, for his contributions to biosciences, in 2014. [11] He was appointed as the director of Institute of Life Sciences, Bhubaneswar on 18 May 2023. [3] [12]

Contents

Biography

Debasis Dash, born on 17 June 1972 in Bhubaneswar, completed his master's degree in chemistry at Delhi University before securing a PhD in 1998. He joined IGIB as scientist in 2000 where he now serves as professor and head for Big Data and AI decision Unit. His contributions have led to the establishment of a thriving school in the realm of genome, proteome and health care informatics.

One of Dr. Dash's notable achievements includes the development of award-winning commercial software suites such as PLHost [13] and Genocluster, [14] which garnered recognition at the Bangalore Bio conferences in 2005 [15] and 2006 [16] for the best product presentation. Collaborating with researchers utilizing the PLHost tool, Dr. Dash's team identified novel genes coding for chromatin remodeling proteins called INO-80, as published in the esteemed Online Mendelian Inheritance in Man (OMIM) database. [17] He has been also part of renowned Open Source Drug Discovery project [18] and Indian Genome Variation Consortium, the largest study conducted on healthy individuals in India to catalog basal genomic variation across diverse populations. In the realm of virology, Dr. Dash's unique GeneD'cipher algorithm identified three novel genes in the SARS virus, [19] aiding in its diagnosis during the outbreak in China. His exceptional contribution in this area received extensive media coverage, with headlines such as "Indian scientists develop Gene Decipher to fight against SARS" featured in prominent publications like India Today, Economic Times, and The Hindu. Additionally, Dr. Dash played a crucial role in establishing the GN Ramachandran Knowledge Centre for Genome Informatics at IGIB.

Combining genomics and proteomics, Dr. Dash ventured into proteogenomics, developing computational algorithms and associated software suites like MassWiz, [3] flexifdr, [20] and ProteoStats. [21] Through his systematic analysis of proteomics data, he made significant discoveries, including the identification of proteins in human plasma, M. tuberculosis, [22] agriculturally important symbiont B. Japonicum, [23] and the missing proteome in humans. [24] In last 5 years, Dr. Dash has also made notable contributions to the development of AI-based medical imaging tools. He has worked on projects such as CovBaseAI project, focusing on the detection and diagnosis of COVID-19 pneumonia from chest X-rays. [7] He has also been involved in the RAPID-CT, aiming to reduce turnaround time and prioritize patients based on their condition using automated triage of medical images. Furthermore, Dr. Dash has worked on the identification and classification of Interstitial Lung Diseases (ILD) from CT scans, aiming to develop a system for texture-based analysis and quantification.

Dr. Debasis Dash's multidisciplinary expertise and pioneering research have significantly advanced the fields of genome informatics and AI in healthcare. His contributions have not only led to scientific breakthroughs but also fostered the growth of bioinformatics research in India. Furthermore, his efforts have resulted in the establishment of a vibrant school of genome informatics in India, with many of his trained students receiving prestigious fellowships and holding faculty positions at renowned institutions like IIT, IISER, THSTI, and Delhi University.

In summary, Dr. Debasis Dash's remarkable scientific journey in genome informatics has left an indelible mark on the field of biological sciences. His innovative ideas, pioneering algorithms, and impactful research have garnered international recognition, positioning CSIR-IGIB as a leading institution in bioinformatics. Through his contributions to genomics, proteomics, and proteogenomics, Dr. Dash has significantly advanced our understanding of biological systems, revolutionizing the way we approach diagnostics, drug discovery, and personalized medicine.

Awards and honors

Patents

US, PCT: NF64/2000; Samir K. Brahmachari and Debasis Dash
US, PCT: NF 421/03; S.K. Brahmachari, D. Dash, J.K Maheshwari and R. Sharma

International Collaborations

Selected bibliography

Related Research Articles

<span class="mw-page-title-main">Proteome</span> Set of proteins that can be expressed by a genome, cell, tissue, or organism

The proteome is the entire set of proteins that is, or can be, expressed by a genome, cell, tissue, or organism at a certain time. It is the set of expressed proteins in a given type of cell or organism, at a given time, under defined conditions. Proteomics is the study of the proteome.

<span class="mw-page-title-main">Proteomics</span> Large-scale study of proteins

Proteomics is the large-scale study of proteins. Proteins are vital macromolecules of all living organisms, with many functions such as the formation of structural fibers of muscle tissue, enzymatic digestion of food, or synthesis and replication of DNA. In addition, other kinds of proteins include antibodies that protect an organism from infection, and hormones that send important signals throughout the body.

<span class="mw-page-title-main">Omics</span> Suffix in biology

The branches of science known informally as omics are various disciplines in biology whose names end in the suffix -omics, such as genomics, proteomics, metabolomics, metagenomics, phenomics and transcriptomics. Omics aims at the collective characterization and quantification of pools of biological molecules that translate into the structure, function, and dynamics of an organism or organisms.

Genome-based peptide fingerprint scanning (GFS) is a system in bioinformatics analysis that attempts to identify the genomic origin of sample proteins by scanning their peptide-mass fingerprint against the theoretical translation and proteolytic digest of an entire genome. This method is an improvement from previous methods because it compares the peptide fingerprints to an entire genome instead of comparing it to an already annotated genome. This improvement has the potential to improve genome annotation and identify proteins with incorrect or missing annotations.

<span class="mw-page-title-main">Protein mass spectrometry</span> Application of mass spectrometry

Protein mass spectrometry refers to the application of mass spectrometry to the study of proteins. Mass spectrometry is an important method for the accurate mass determination and characterization of proteins, and a variety of methods and instrumentations have been developed for its many uses. Its applications include the identification of proteins and their post-translational modifications, the elucidation of protein complexes, their subunits and functional interactions, as well as the global measurement of proteins in proteomics. It can also be used to localize proteins to the various organelles, and determine the interactions between different proteins as well as with membrane lipids.

In proteomics, GPM stands for "Global Proteome Machine". It is a web-based, open source user interface for analyzing and displaying protein identification data. It was originally designed by Rob Craig and Ron Beavis and first released in 2003. The interface creates a series of web browser page views of tandem mass spectrometry data that has been assigned to protein sequences. The underlying data documents are stored in BIOML format files.

Marc R. Wilkins is an Australian scientist who is credited with the defining the concept of the proteome. Wilkins is a Professor in the School of Biotechnology and Biomolecular Sciences at the University of New South Wales, Sydney.

<span class="mw-page-title-main">Institute of Genomics and Integrative Biology</span> Indian scientific research institute

CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) is a scientific research institute devoted primarily to biological research. It is a part of Council of Scientific and Industrial Research (CSIR), India.

<span class="mw-page-title-main">Proteogenomics</span>

Proteogenomics is a field of biological research that utilizes a combination of proteomics, genomics, and transcriptomics to aid in the discovery and identification of peptides. Proteogenomics is used to identify new peptides by comparing MS/MS spectra against a protein database that has been derived from genomic and transcriptomic information. Proteogenomics often refers to studies that use proteomic information, often derived from mass spectrometry, to improve gene annotations. The utilization of both proteomics and genomics data alongside advances in the availability and power of spectrographic and chromatographic technology led to the emergence of proteogenomics as its own field in 2004.

Secretomics is a type of proteomics which involves the analysis of the secretome—all the secreted proteins of a cell, tissue or organism. Secreted proteins are involved in a variety of physiological processes, including cell signaling and matrix remodeling, but are also integral to invasion and metastasis of malignant cells. Secretomics has thus been especially important in the discovery of biomarkers for cancer and understanding molecular basis of pathogenesis. The analysis of the insoluble fraction of the secretome has been termed matrisomics.

The Human Proteome Project (HPP) is a collaborative effort coordinated by the Human Proteome Organization. Its stated goal is to experimentally observe all of the proteins produced by the sequences translated from the human genome.

Mitali Mukerji is a Professor and Head of the Department of Bioscience and Bioengineering, IIT Jodhpur. She was formerly a Chief Scientist at the CSIR Institute of Genomics and Integrative Biology with notable achievement in the field of human genomics and personalized medicine. She is best known for initiating the field of "Ayurgenomics" in partnership with her colleague Dr. Bhavana Prasher under the mentorship of Prof. Samir K. Brahmachari. Ayurgenomics is an innovative study, blending the principles of Ayurveda- the traditional Indian system of medicine- with genomics. Mukerji is also a major contributor in the Indian Genome Variation Consortium, a comprehensive database that is producing "the first genetic landscape of the Indian population", and has been an author in many publications that use IGV databases to study population genomics. Mukerji has done extensive research on hereditary ataxias, and is involved in many other projects related to tracking disease origins and mutational histories. She is the recipient of the prestigious Shanti Swarup Bhatnagar Award in 2010 for her contribution in the field of Medical Sciences.

<span class="mw-page-title-main">Ronald Beavis</span> Canadian protein biochemist

Ronald Charles Beavis is a Canadian protein biochemist, who has been involved in the application of mass spectrometry to protein primary structure, with applications in the fields of proteomics and analytical biochemistry. He has developed methods for measuring the identity and post-translational modification state of proteins obtained from biological samples using mass spectrometry. He is currently best known for developing new methods for analyzing proteomics data and applying the results of these methods to problems in computational biology.

Zeng Rong is a Chinese biochemist researching and developing technology for proteomics research. She is currently a professor at the Institute of Biochemistry and Cell Biology at the Shanghai Institutes for Biological Sciences.

David Fenyö is a Hungarian-Swedish-American computational biologist, physicist and businessman. He is currently professor in the Department of Biochemistry and Molecular Pharmacology at NYU Langone Medical Center. Fenyö's research focuses on the development of methods to identify, characterize and quantify proteins and in the integration of data from multiple modalities including mass spectrometry, sequencing and microscopy.

The Institute of Bioinformatics, often referred to as IOB, is an Indian not-for-profit academic research organization based in Bangalore, India. It is involved in research in the fields of bioinformatics, multi-omics, systems biology and neurological disorders. In 2002, the institute was set up by The Genomics Research Trust and the Johns Hopkins University of Baltimore, Maryland. This organization is recognized as a 'Scientific and Industrial Research Organization' (SIRO) of the Department of Scientific and Industrial Research, Government of India. Renowned Proteomicist Akhilesh Pandey, Professor at Department of Laboratory Medicine and Pathology, Center for Individualized Medicine of Mayo Clinic in Rochester, Minnesota, USA is the Founding and current Director of IOB, and eminent Proteomicist Ravi Sirdeshmukh, Founder President of the 'Proteomic Society of India' is the current Associate Director of IOB.

<span class="mw-page-title-main">Shoba Ranganathan</span> Indian-Australian bioinformatian and academic

Shoba Ranganathan is an Indian Australian biochemist who is a professor of bioinformatics at Macquarie University. Her research considers computational biology and bioinformatics, genome annotation and structural bioinformatics.

Ravi Sirdeshmukh is an Indian cancer biologist and proteomicist. He is a distinguished scientist and incumbent associate director of the Institute of Bioinformatics (IOB) in Bangalore, founding president of the Proteomics Society of India and senior research advisor at the Mazumdar Shaw Center for Translational Research (MSCTR) in Bangalore. He is also an elected member of the Council of Human Proteome Organization. He is most noted for his contributions in the Human Proteome Project where he served as the Group Leader for the countries like India, Singapore, Taiwan and Thailand. Sirdeshmukh is also an invited member of the Council of Asian Oceanean HUPO (AOHUPO).

References

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  4. Kumar, Dhirendra; Yadav, Amit Kumar; Jia, Xinying; Mulvenna, Jason; Dash, Debasis (1 January 2016). "Integrated Transcriptomic-Proteomic Analysis Using a Proteogenomic Workflow Refines Rat Genome Annotation*". Molecular & Cellular Proteomics. 15 (1): 329–339. doi: 10.1074/mcp.M114.047126 . ISSN   1535-9476. PMC   4762527 . PMID   26560066.
  5. Kumar, Dhirendra; Bansal, Gourja; Narang, Ankita; Basak, Trayambak; Abbas, Tahseen; Dash, Debasis (October 2016). "Integrating transcriptome and proteome profiling: Strategies and applications". Proteomics. 16 (19): 2533–2544. doi:10.1002/pmic.201600140. PMID   27343053. S2CID   13333376.
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  20. Yadav, Amit Kumar; Kumar, Dhirendra; Dash, Debasis (26 November 2012). "Learning from Decoys to Improve the Sensitivity and Specificity of Proteomics Database Search Results". PLOS ONE. 7 (11): e50651. Bibcode:2012PLoSO...750651Y. doi: 10.1371/journal.pone.0050651 . ISSN   1932-6203. PMC   3506577 . PMID   23189209.
  21. academic.oup.com https://academic.oup.com/bioinformatics/article-abstract/29/21/2799/197053 . Retrieved 2 June 2023.{{cite web}}: Missing or empty |title= (help)
  22. Kelkar, Dhanashree S.; Kumar, Dhirendra; Kumar, Praveen; Balakrishnan, Lavanya; Muthusamy, Babylakshmi; Yadav, Amit Kumar; Shrivastava, Priyanka; Marimuthu, Arivusudar; Anand, Sridhar; Sundaram, Hema; Kingsbury, Reena; Harsha, H. C.; Nair, Bipin; Prasad, T. S. Keshava; Chauhan, Devendra Singh (1 December 2011). "Proteogenomic Analysis of Mycobacterium tuberculosis By High Resolution Mass Spectrometry*". Molecular & Cellular Proteomics. 10 (12): M111.011445. doi: 10.1074/mcp.M111.011627 . ISSN   1535-9476. PMC   3275902 . PMID   21969609. S2CID   36626951.
  23. Kumar, Dhirendra; Yadav, Amit Kumar; Kadimi, Puneet Kumar; Nagaraj, Shivashankar H.; Grimmond, Sean M.; Dash, Debasis (1 November 2013). "Proteogenomic Analysis of Bradyrhizobium japonicum USDA110 Using Genosuite, an Automated Multi-algorithmic Pipeline*". Molecular & Cellular Proteomics. 12 (11): 3388–3397. doi: 10.1074/mcp.M112.027169 . ISSN   1535-9476. PMC   3820949 . PMID   23882027.
  24. Kumar, Dhirendra; Jain, Aradhya; Dash, Debasis (4 December 2015). "Probing the Missing Human Proteome: A Computational Perspective". Journal of Proteome Research. 14 (12): 4949–4958. doi:10.1021/acs.jproteome.5b00728. ISSN   1535-3893. PMID   26407240.