Publications
Book Chapter
20. Vidya Moni, Shantosh Cumarasurier, Asim Bikas Das*, Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancerRole of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer, Artificial Intelligence and Computational Dynamics for Biomedical Research, De Gruyter Nov 7, 2022.
19. Asim Bikas Das*, Network Biology for Biomarker Discovery and Therapy in Cancer, Genomic and Epigenomic Biomarkers of Toxicology and Disease: Clinical and Therapeutic Actions, (Published by Wiley), (2022), https://doi.org/10.1002/9781119807704.ch8.
Publications in Journals​
18. Asim Bikas Das*, Network medicine and artificial intelligence in cancer precision therapy: path to prevent drug-induced toxic side effect, Current opinion in Toxicology (2024), doi.org/10.1016/j.cotox.2024.100476
17. Sana Munquad, Asim Bikas Das*, Uncovering the subtype-specific disease module and the development of drug response prediction models for glioma, Heliyon (2024), 10, e27190.
16. Sana Munquad, Asim Bikas Das*, DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping, BioData Mining (2023), 16:32.
​
15. Sana Munquad, Tapas Si, Saurav Mallik, Aimin Li, Asim Bikas Das*, Subtyping and Grading of Lower-grade Gliomas Using Integrated Feature Selection and Support Vector Machine, Briefings in Functional Genomics (2022), elac025, 1-14.
​
14. Sana Munquad, Tapas Si, Saurav Mallik, Asim Bikas Das* and Zhongming Zhao*, A deep learning-based framework for supporting clinical diagnosis of glioblastoma subtypes, Frontiers in Genetics (2022) 13, 855420.
​
13. Asim Bikas Das*, Lung disease network reveals impact of comorbidity on SARS-CoV-2 infection and opportunities of drug repurposing, BMC Medical Genomics (2021) 14, 226.
12. Asim Bikas Das*, Small-world networks of prognostic genes associated with lung adenocarcinoma development, Genomics(2020) 112, 4078-4088.
11.​Qiankun Niu, Wei Wang, Zhe Wei, Boseon Byeon, Asim Bikas Das, Bo-Shiun Chen, Wei-Hua Wu. Role of the ATP-dependent chromatin remodeling enzyme Fun30/Smarcad1 in the regulation of mRNA splicing, Biochemical and Biophysical Research Communications (2020) 526, 453-458.
10.B. Sumithra, V.S.P.K. Sankara Aditya Jayanthi, Hari Chandana Manne, Rashmika Gunda, Urmila Saxena*, Asim Bikas Das*. Antibody-based biosensor to detect oncogenic splicing factor Sam68 for the diagnosis of lung cancer, Biotechnology Letters(2020), https://doi.org/10.1007/s10529-020-02951-9
​​9. VSPK Sankara Aditya Jayanthi, Asim Bikas Das*, Urmila Saxena*, Grade-specific diagnostic and prognostic biomarkers in breast cancer, Genomics(2020) 112, 388-396.
8. B.Sumithra, Urmila Saxena, Asim Bikas Das*, A comprehensive study on genome-wide coexpression network of KHDRBS1/Sam68 reveals its cancer and patient-specific association, Scientific Reports (2019) 9, 11083.
7. Asim Bikas Das*, Disease association of human tumor suppressor genes, Molecular Genetics and Genomics(2019) 294, 931-940.(The article is highlighted in Nature India, April 2019, link: click here)
​
6. VSPK. Sankara Aditya Jayanthi, Asim Bikas Das, Urmila Saxena, Fabrication of an immunosensor for quantitative detection of breast cancer biomarker UBE2C, RSC Advances(2019) 9, 16738.
​
5. Rahul Rao Padala, Rishabh Karnawat, Satish Bharathwaj Viswanathan, Abhishek Vijay Thakkar, and Asim Bikas Das*,
Cancerous perturbations within the ERK, PI3K/Akt, and Wnt/b-catenin signaling network constitutively activate inter-pathway positive feedback loops, Molecular BioSystems(2017) 13, 830 - 840. (PMID:28367561
This article is selected as theme article 2017 by Royal Society of Chemistry, UK and featured in cover page of the journal
The work is reproduced and featured in EMBL-EBI,UK (BioModels Database) website as model of the month (September, 2017). Link : click here
​
​
​
​
​
​
​
​
​
​
​
​
​
​
4. VSPK Sankara Aditya Jayanthi, Asim Bikas Das, Urmila Saxena, Recent advances in biosensor development for the detection of cancer biomarkers, Biosensors and Bioelectronics (2017) 91, 15-23. (PMID:27984706)
(This article is featured as one of the most cited article)
​
3.B. Sumithra, Urmila Saxena, Asim Bikas Das*, Alternative splicing within the Wnt signaling pathway: role in cancer development, Cellular Oncology (2016) 39, 1-13. (PMID: 26762488)​
(This article is cited in the product catalog of Creative Diagonestic, USA (Link)
2.Asim Bikas Das, Pojul Loying, Biplab Bose, Human Recombinant Cripto-1 Increases Doubling Time and Reduces Proliferation of HeLa Cells Independent of Pro-proliferation Pathways. Cancer Letters (2012) 318, 189. (PMID: 22182448)
1.Bholanath Paul, Vani Mishra, Bhushan Chaudhury, Anjali Awasthi, Asim Bikas Das, Urmila Saxena, Ashok Saxena, Lalit K. Chauhan, Pradeep Kumar, Sheikh RaisuddinStatus of Stat3 in an ovalbumin-induced mouse model of asthma: Analysis of the role of Socs3 and IL-6. International Archives of Allergy and Immunology (2009) 48, 99. (PMID: 18799889)
​
Selected abstract published in the conference
1.Urmila Saxena, Asim Bikas Das (2016), Designing Splice Isoform-Specific Nucleic Acid Based Biosensor for Detection of Breast Cancer, NGS' 2016 Genome Annotation. Centre for Genomic Regulation, Barcelona, Spain.
2. VSPK Sankara Aditya J, Asim Bikas Das, Urmila Saxena (2016), Microarray Data Analysis to Identify Prognostic Breast Cancer Biomarkers, International Conference On "Emerging Biotechnologies ". Kakatiya University, Warangal, India, January 2016 (Best poster award).
3. Sumithra.B, Asim Bikas Das (2015), Oncogenic Sam68 links Signaling Pathways and Alternative Splicing, 9th Indo Global Summit on Cancer Therapy, Hyderabad, India.
4. VSPK Sankara Aditya J, Asim Bikas Das, Urmila Saxena (2015), Identification of Potential Biomarkers for Early Detection of Breast Cancer Through In Silico Approaches, 9th Indo Global Summit on Cancer Therapy, Hyderabad, India.
5. Sumithra.B, Asim Bikas Das (2015), Transcriptional regulation and protein-protein interaction networks of human Oncogenic splicing factor Sam68, International conference on Stem cells and Cancer (ICSCC), Pune, India (Best poster award).
​6. Qiankun Niu, Wei Wang, Boseon Byeon, Yong Li, Asim Bikas Das, Wei-Hua Wu (2014), Role of ATP-dependent chromatin remodeling enzyme Fun30 in co-transcriptional pre-mRNA splicing. Yeast Genetics Meeting, University of Washington, Seattle, USA.
7. Asim Bikas Das, Biplab Bose (2008), Heterologous Expression of Human Oncofetal Protein Cripto-1, 77th Annual meeting of Society of Biological Chemists (India), IIT Madras, Chennai, India.
​
Talk in conferences and workshop
1. Asim Bikas Das (2017), Network Theory to Understand Biology of Complex Diseases , 11th All India Peoples’ Technology Congress , NITTTR, Kolkata, India
2. Asim Bikas Das (2016), Complexity in Wnt Signaling Pathway, Whole-Cell Modeling Course, Centre for Genomic Regulation, Barcelona, Spain.
3. Asim Bikas Das (2013), Context Dependent Behaviour of Growth Factors: An Insight into Signalling Pathways, Emerging Trend in Genetic Engineering, NIT Warangal, India.
​
