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Showing 10 out of a total of 14 results for community: IITB Publications. (0.013 seconds)

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Multiple Reaction Monitoring-Based Targeted Assays for the Validation of Protein Biomarkers in Brain Tumors

GHANTASALA S.; PAI M.G.J.; BISWAS D.; GAHOI N.; MUKHERJEE S.; KP M.; NISSA M.U.; SRIVASTAVA A.; EPARI S.; SHETTY P.; MOIYADI A.; SRIVASTAVA S. (Frontiers Media S.A., 2021)
Reinspection of a clinical proteomics tumor analysis consortium (Cptac) dataset with cloud computing reveals abundant post-translational modifications and protein sequence variants

PRAKASH A.; TAYLOR L.; VARKEY M.; HOXIE N.; MOHAMMED Y.; GOO Y.A.; PETERMAN S.; MOGHEKAR A.; YUAN Y.; GLAROS T.; STEELE J.R.; FARIDI P.; PARIHARI S.; SRIVASTAVA S.; OTTO J.J.; NYALWIDHE J.O.; SEMMES O.J.; MORAN M.F.; MADUGUNDU A.; MUN D.G.; PANDEY A.; MAHONEY K.E.; SHABANOWITZ J.; SAXENA S.; ORSBURN B.C. (MDPI, 2021)
Organ-Based Proteome and Post-Translational Modification Profiling of a Widely Cultivated Tropical Water Fish, Labeo rohita

NISSA M.U.; PINTO N.; MUKHERJEE A.; REDDY P.J.; GHOSH B.; SUN Z.; GHANTASALA S.; CHETANYA C.; SHENOY S.V.; MORITZ R.L.; GOSWAMI M.; SRIVASTAVA S. (American Chemical Society, 2022)
A Multi-omics Longitudinal Study Reveals Alteration of the Leukocyte Activation Pathway in COVID-19 Patients

SUVARNA K.; SALKAR A.; PALANIVEL V.; BANKAR R.; BANERJEE N.; GAYATHRI J PAI M.; SRIVASTAVA A.; SINGH A.; KHATRI H.; AGRAWAL S.; SHRIVASTAV O.; SHASTRI J.; SRIVASTAVA S. (American Chemical Society, 2021)
Deciphering the Interregional and Interhemisphere Proteome of the Human Brain in the Context of the Human Proteome Project

BISWAS D.; SHENOY S.V.; CHETANYA C.; LACHÉN-MONTES M.; BARPANDA A.; ATHITHYAN A.P.; GHOSH S.; AUSÍN K.; ZELAYA M.V.; FERNÁNDEZ-IRIGOYEN J.; MANNA A.; ROY S.; TALUKDAR A.; BALL G.R.; SANTAMARÍA E.; SRIVASTAVA S. (American Chemical Society, 2021)
A quantitative systems approach to define novel effects of tumour p53 mutations on binding oncoprotein mdm2

FUENTES M.; SRIVASTAVA S.; GRONENBORN A.M.; LABAER J. (MDPI, 2022)
Proteomics and Machine Learning Approaches Reveal a Set of Prognostic Markers for COVID-19 Severity With Drug Repurposing Potential

SUVARNA K.; BISWAS D.; PAI M.G.J.; ACHARJEE A.; BANKAR R.; PALANIVEL V.; SALKAR A.; VERMA A.; MUKHERJEE A.; CHOUDHURY M.; GHANTASALA S.; GHOSH S.; SINGH A.; BANERJEE A.; BADAYA A.; BIHANI S.; LOYA G.; MANTRI K.; BURLI A.; ROY J.; SRIVASTAVA A.; AGRAWAL S.; SHRIVASTAV O.; SHASTRI J.; SRIVASTAVA S. (Frontiers Media S.A., 2021)
Peptidomics and proteogenomics: background, challenges and future needs

VITORINO R.; CHOUDHURY M.; GUEDES S.; FERREIRA R.; THONGBOONKERD V.; SHARMA L.; AMADO F.; SRIVASTAVA S. (Taylor and Francis Ltd., 2021)
The proteomic analysis shows enrichment of RNA surveillance pathways in adult SHH and extensive metabolic reprogramming in Group 3 medulloblastomas

KP M.; KUMAR A.; BISWAS D.; MOIYADI A.; SHETTY P.; GUPTA T.; EPARI S.; SHIRSAT N.; SRIVASTAVA S. (Springer, 2021)
Mumbai mayhem of COVID-19 pandemic reveals important factors that influence susceptibility to infection

YADAV R.; ACHARJEE A.; SALKAR A.; BANKAR R.; PALANIVEL V.; AGRAWAL S.; SHASTRI J.; SABNIS S.V.; SRIVASTAVA S. (Lancet Publishing Group, 2021)