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Akram Mohammed

Postdoctoral Research Associate (Bioinformatics and computational biology not elsewhere classified)

Lincoln, Nebraska

I develop machine learning models to predict cancer biomarkers, cancer type, and subtype to help design effective cancer therapies. I develop the large-scale dynamical immune system model with various pathogens to study co-infections.

Publications

  • Negi S, Pandey S, Srinivasan SM, Mohammed A, Guda C. LocSigDB: a database of protein localization signals. Database (Oxford) [Internet]. 2015; 2015: bav003-bav003. doi: 10.1093/database/bav003.
  • Mohammed A, Guda C, Manuscript A, Sequences E. Computational Approaches for Automated Classification of Enzyme Sequences. J Proteomics Bioinforma [Internet]. NIH Public Access; 2011; 4: 147–52. doi: 10.4172/jpb.1000183.
  • Mohammed A, Guda C. Application of a hierarchical enzyme classification method reveals the role of gut microbiome in human metabolism. BMC Genomics [Internet]. 2015 [cited 2015 Jun 11]; 16 Suppl 7: S16. doi: 10.1186/1471-2164-16-S7-S16.
  • Mohammed A, Biegert G, Adamec J, Helikar T. CancerDiscover: A configurable pipeline for cancer prediction and biomarker identification using machine learning framework. bioRxiv [Internet]. 2017 [cited 2017 Sep 1]; . doi: https://doi.org/10.1101/182998.
  • Massilamany C, Mohammed A, Loy JD, Purvis T, Krishnan B, Basavalingappa RH, Kelley CM, Guda C, Barletta RG, Moriyama EN, Smith TPL, Reddy J. Whole genomic sequence analysis of Bacillus infantis: defining the genetic blueprint of strain NRRL B-14911, an emerging cardiopathogenic microbe. BMC Genomics [Internet]. 2016; 17: 511. doi: 10.1186/s12864-016-2900-2.
  • Mohammed A, Biegert G, Adamec J, Helikar T. Identification of potential tissue-specific cancer biomarkers and development of cancer versus normal genomic classifiers. Oncotarget [Internet]. Impact Journals; 2017 [cited 2017 Sep 26]; . doi: 10.18632/oncotarget.21127.

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