Bolt

In almost all search engines, users must limit their search space to a canonical database (and handful of PTMs) due to time constraints and q value considerations, but this typically does not reflect the individual genetic variations of the organism being studied. Bolt is a new cloud-based search engine that can search more than 6,000,000 protein sequences (canonical, isoform, mutations, contaminants, non-canonical) with more than 400 post-translation modifications and N-terminal and C-terminal partial tryptic search in minutes on a standard configuration laptop. Along with increases in speed, Bolt provides an additional benefit of improvement in high-confidence identifications.

Analysis on CRDC Breast Cancer data

Bolt for Immunopeptidomics

ALS-Bolt

Publications:

1. Prakash A, Taylor L, Varkey M, et al. Reinspection of a Clinical Proteomics Tumor Analysis Consortium (CPTAC) Dataset with Cloud Computing Reveals Abundant Post-Translational Modifications and Protein Sequence Variants. Cancers (Basel). 2021;13(20):5034. Published 2021 Oct 9. doi:10.3390/cancers13205034 .

2. Chea EE, Prakash A, Jones LM. The utilization of the search engine, Bolt, to decrease search time and increase peptide identifications in hydroxyl radical protein footprinting-based workflows. Proteomics. 2021;21(21-22):e2000295. doi:10.1002/pmic.202000295

3. Prakash A, Mahoney KE, Orsburn BC. Cloud Computing Based Immunopeptidomics Utilizing Community Curated Variant Libraries Simplifies and Improves Neo-Antigen Discovery in Metastatic Melanoma. Cancers (Basel). 2021;13(15):3754. Published 2021 Jul 26. doi:10.3390/cancers13153754

4. Prakash A, Ahmad S, Majumder S, Jenkins C, Orsburn B. Bolt: a New Age Peptide Search Engine for Comprehensive MS/MS Sequencing Through Vast Protein Databases in Minutes. J Am Soc Mass Spectrom. 2019;30(11):2408-2418. doi:10.1007/s13361-019-02306-3

5. Prakash A, Majumder S, Ahmad S, et al. Detection and verification of 2.3 million cancer mutations in NCI60 cancer cell lines with a cloud search engine. J Proteomics. 2019;209:103488. doi:10.1016/j.jprot.2019.103488