Search Results - "Sokhansanj, Bahrad A"

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  1. 1

    Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization by Zhao, Zhengqiao, Sokhansanj, Bahrad A, Malhotra, Charvi, Zheng, Kitty, Rosen, Gail L

    Published in PLoS computational biology (17-09-2020)
    “…We propose an efficient framework for genetic subtyping of SARS-CoV-2, the novel coronavirus that causes the COVID-19 pandemic. Efficient viral subtyping…”
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    Journal Article
  2. 2

    Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network by Zhao, Zhengqiao, Woloszynek, Stephen, Agbavor, Felix, Mell, Joshua Chang, Sokhansanj, Bahrad A, Rosen, Gail L

    Published in PLoS computational biology (01-09-2021)
    “…Recurrent neural networks with memory and attention mechanisms are widely used in natural language processing because they can capture short and long term…”
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    Journal Article
  3. 3

    Amino Acid k-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights by ValizadehAslani, Taha, Zhao, Zhengqiao, Sokhansanj, Bahrad A, Rosen, Gail L

    Published in Biology (Basel, Switzerland) (01-11-2020)
    “…Machine learning algorithms can learn mechanisms of antimicrobial resistance from the data of DNA sequence without any a priori information. Interpreting a…”
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    Journal Article
  4. 4

    Interpretable and Predictive Deep Neural Network Modeling of the SARS-CoV-2 Spike Protein Sequence to Predict COVID-19 Disease Severity by Sokhansanj, Bahrad A, Zhao, Zhengqiao, Rosen, Gail L

    Published in Biology (Basel, Switzerland) (08-12-2022)
    “…Through the COVID-19 pandemic, SARS-CoV-2 has gained and lost multiple mutations in novel or unexpected combinations. Predicting how complex mutations affect…”
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    Journal Article
  5. 5

    Complet+: a computationally scalable method to improve completeness of large-scale protein sequence clustering by Nguyen, Rachel, Sokhansanj, Bahrad A, Polikar, Robi, Rosen, Gail L

    Published in PeerJ (San Francisco, CA) (08-02-2023)
    “…A major challenge for clustering algorithms is to balance the trade-off between homogeneity, , the degree to which an individual cluster includes only related…”
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    Journal Article
  6. 6

    Predicting Institution Outcomes for Inter Partes Review (IPR) Proceedings at the United States Patent Trial & Appeal Board by Deep Learning of Patent Owner Preliminary Response Briefs by Sokhansanj, Bahrad A., Rosen, Gail L.

    Published in Applied sciences (01-04-2022)
    “…A key challenge for artificial intelligence in the legal field is to determine from the text of a party’s litigation brief whether, and why, it will succeed or…”
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    Journal Article
  7. 7

    Mapping Data to Deep Understanding: Making the Most of the Deluge of SARS-CoV-2 Genome Sequences by Sokhansanj, Bahrad A, Rosen, Gail L

    Published in mSystems (26-04-2022)
    “…Next-generation sequencing has been essential to the global response to the COVID-19 pandemic. As of January 2022, nearly 7 million severe acute respiratory…”
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    Journal Article
  8. 8

    Streamlining Computational Fragment-Based Drug Discovery through Evolutionary Optimization Informed by Ligand-Based Virtual Prescreening by Chandraghatgi, Rohan, Ji, Hai-Feng, Rosen, Gail L., Sokhansanj, Bahrad A.

    “…Recent advances in computational methods provide the promise of dramatically accelerating drug discovery. While mathematical modeling and machine learning have…”
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    Journal Article
  9. 9
  10. 10

    Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning by Sokhansanj, Bahrad A., Rosen, Gail L.

    Published in Computers in biology and medicine (01-10-2022)
    “…Epidemiological studies show that COVID-19 variants-of-concern, like Delta and Omicron, pose different risks for severe disease, but they typically lack…”
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    Journal Article
  11. 11

    Accelerated search for biomolecular network models to interpret high-throughput experimental data by Datta, Suman, Sokhansanj, Bahrad A

    Published in BMC bioinformatics (18-07-2007)
    “…The functions of human cells are carried out by biomolecular networks, which include proteins, genes, and regulatory sites within DNA that encode and control…”
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    Journal Article
  12. 12

    Estimating the Effect of Human Base Excision Repair Protein Variants on the Repair of Oxidative DNA Base Damage by SOKHANSANJ, Bahrad A, WILSON, David M

    “…Epidemiologic studies have revealed a complex association between human genetic variance and cancer risk. Quantitative biological modeling based on…”
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    Journal Article
  13. 13

    Fragment databases from screened ligands for drug discovery (FDSL-DD) by Wilson, Jerica, Sokhansanj, Bahrad A, Chong, Wei Chuen, Chandraghatgi, Rohan, Rosen, Gail L, Ji, Hai-Feng

    Published in Journal of molecular graphics & modelling (01-03-2024)
    “…Fragment-based drug design (FBDD) is one major drug discovery method employed in computer-aided drug discovery. Due to its inherent limitations, this process…”
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    Journal Article
  14. 14
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    Linear fuzzy gene network models obtained from microarray data by exhaustive search by Sokhansanj, Bahrad A, Fitch, J Patrick, Quong, Judy N, Quong, Andrew A

    Published in BMC bioinformatics (10-08-2004)
    “…Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole…”
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    Journal Article
  16. 16

    Discovering the Unknown : Improving Detection of Novel Species and Genera from Short Reads by Rosen, Gail L., Polikar, Robi, Caseiro, Diamantino A., Essinger, Steven D., Sokhansanj, Bahrad A.

    Published in Journal of biomedicine & biotechnology (01-01-2011)
    “…High-throughput sequencing technologies enable metagenome profiling, simultaneous sequencing of multiple microbial species present within an environmental…”
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    Journal Article
  17. 17

    Systems approaches to the networks of aging by Kriete, Andres, Sokhansanj, Bahrad A, Coppock, Donald L, West, Geoffrey B

    Published in Ageing research reviews (01-11-2006)
    “…The aging of an organism is the result of complex changes in structure and function of molecules, cells, tissues, and whole body systems. To increase our…”
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    Journal Article
  18. 18

    Semi-Supervised and Incremental Sequence Analysis for Taxonomic Classification by Fasino, Adriana, Ozdogan, Emrecan, Sokhansanj, Bahrad A., Rosen, Gail, Polikar, Robi

    “…Metagenomic analysis is vital in determining what organisms are present in a microbial sample and why they are present. In this study, we explore the utility…”
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    Conference Proceeding
  19. 19

    Integrated modeling methodology for microtubule dynamics and Taxol kinetics with experimentally identifiable parameters by Zhao, He, Sokhansanj, Bahrad A

    “…Abstract Microtubule dynamics play a critical role in cell function and stress response, modulating mitosis, morphology, signaling, and transport. Drugs such…”
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    Journal Article
  20. 20

    A quantitative model of human DNA base excision repair. I. mechanistic insights by Sokhansanj, Bahrad A., Rodrigue, Garry R., Fitch, J. Patrick, III, David M. Wilson

    Published in Nucleic acids research (15-04-2002)
    “…Base excision repair (BER) is a multistep process involving the sequential activity of several proteins that cope with spontaneous and environmentally induced…”
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    Journal Article