P. Prathipati

发表

A robust tool for discriminative analysis and feature selection in paired samples impacts the identification of the genes essential for reprogramming lung tissue to adenocarcinoma

V. Kuznetsov, C. Kwoh, Swee Heng Toh, 2011, BMC Genomics.

Network analysis and in silico prediction of protein-protein interactions with applications in drug discovery.

Kenji Mizuguchi, Lokesh P. Tripathi, Philip Prathipati, 2017, Current opinion in structural biology.

Amino Acids Regulate Cisplatin Insensitivity in Neuroblastoma

P. Prathipati, D. Durden, A. Pathania, 2020, Cancers.

Identification of potential inhibitors based on compound proposal contest: Tyrosine-protein kinase Yes as a target

Kun-Yi Hsin, Hiroaki Kitano, Y-h. Taguchi, 2015, Scientific Reports.

A prospective compound screening contest identified broader inhibitors for Sirtuin 1

Shogo D. Suzuki, Hironori K. Nakamura, Kazuki Z. Yamamoto, 2019, Scientific Reports.

Integrating sequence and gene expression information predicts genome-wide DNA-binding proteins and suggests a cooperative mechanism

Lokesh P. Tripathi, K. Mizuguchi, Shandar Ahmad, 2017, Nucleic acids research.

COVID-19 and Cancer Comorbidity: Therapeutic Opportunities and Challenges

P. Prathipati, D. Durden, Subash C. Gupta, 2021, Theranostics.

Immune checkpoint molecules in neuroblastoma: A clinical perspective.

Ankit Srivastava, P. Prathipati, Subash C. Gupta, 2022, Seminars in cancer biology.

Characterization of β3-adrenergic receptor: determination of pharmacophore and 3D QSAR model for β3 adrenergic receptor agonism

Anil K. Saxena, Philip Prathipati, P. Prathipati, 2005, J. Comput. Aided Mol. Des..

Antihyperglycemic and antidyslipidemic agent from Aegle marmelos.

P. Prathipati, A. Srivastava, R. Chander, 2007, Bioorganic & medicinal chemistry letters.

alpha-Amino acid derivatives as proton pump inhibitors and potent anti-ulcer agents.

P. Prathipati, A. Saxena, B. Kundu, 2007, European journal of medicinal chemistry.

miR-15a and miR-15b modulate natural killer and CD8+T-cell activation and anti-tumor immune response by targeting PD-L1 in neuroblastoma

P. Prathipati, Subash C. Gupta, A. Pathania, 2022, Molecular therapy oncolytics.

* Corresponding authors

Sarita Ranjan, Jayashree Seshadri, Vaibhav Vindal, 2009 .

Journal Pre-proof SAP30, an oncogenic driver of progression, survival, and drug resistance in high-risk neuroblastoma

P. Prathipati, Subash C. Gupta, A. Pathania, 2022 .

Unprecedented N→C[1,4] Boc migration: synthesis of 3-carboxyl functionalized 7-azaindolo[2,1-c][1,4]benzoxazine ring system

P. Prathipati, D. Bhuniya, P. Ramaiah, 2013 .

Development of 3D-QSAR models for 5-lipoxygenase antagonists: chalcones.

Philip Prathipati, S. G. Kaskhedikar, P. Prathipati, 2002, Bioorganic & medicinal chemistry.

Synthesis of some substituted pyrazinopyridoindoles and 3D QSAR studies along with related compounds: piperazines, piperidines, pyrazinoisoquinolines, and diphenhydramine, and its semi-rigid analogs as antihistamines (H1).

P. Prathipati, A. Saxena, M. Saxena, 2006, Bioorganic & medicinal chemistry.

Antihyperglycemic and antidyslipidemic agent from Aegle marmelos.

P. Prathipati, R. Chander, P Prathipati, 2007, Bioorganic & medicinal chemistry letters.

New insights into exosome mediated tumor-immune escape: Clinical perspectives and therapeutic strategies.

P. Prathipati, A. Pathania, K. Challagundla, 2021, Biochimica et biophysica acta. Reviews on cancer.

The emerging role of non-coding RNAs in the epigenetic regulation of pediatric cancers.

P. Prathipati, Subash C. Gupta, A. Pathania, 2021, Seminars in cancer biology.

Clinical implications of noncoding RNAs in neuroblastoma patients

P. Prathipati, Subash C. Gupta, A. Pathania, 2022, Clinical Applications of Non-Coding RNAs in Cancer.

Exploring the epigenetic drug discovery landscape

Virapong Prachayasittikul, Chanin Nantasenamat, Veda Prachayasittikul, 2017, Expert opinion on drug discovery.

COVID-19 AND CANCER COMORBIDITY: THERAPEUTIC OPPORTUNITIES AND CHALLENGES (RUSSIAN TRANSLATION)

P. Prathipati, D. Durden, S. Byrareddy, 2021, Juvenis Scientia.

2D-QSAR in hydroxamic acid derivatives as peptide deformylase inhibitors and antibacterial agents.

P. Prathipati, A. Saxena, P. Mishra, 2002, Bioorganic & medicinal chemistry.

BioHackathon 2015: Semantics of data for life sciences and reproducible research

Akira R. Kinjo, Núria Queralt-Rosinach, Michel Dumontier, 2020, F1000Research.

Systems Biology Approaches to a Rational Drug Discovery Paradigm.

Kenji Mizuguchi, Philip Prathipati, K. Mizuguchi, 2015, Current topics in medicinal chemistry.

Improved pose and affinity predictions using different protocols tailored on the basis of data availability

Shandar Ahmad, Kenji Mizuguchi, Philip Prathipati, 2016, Journal of Computer-Aided Molecular Design.

Towards the Revival of Interpretable QSAR Models

Apilak Worachartcheewan, Chanin Nantasenamat, Wiwat Owasirikul, 2017 .

Comparison of MLR, PLS and GA-MLR in QSAR analysis*

A K Saxena, P Prathipati, P. Prathipati, 2003, SAR and QSAR in environmental research.

Fishing the target of antitubercular compounds: in silico target deconvolution model development and validation.

Andreas Bender, Philip Prathipati, Ngai Ling Ma, 2009, Journal of proteome research.

Global Bayesian Models for the Prioritization of Antitubercular Agents

Philip Prathipati, Thomas H. Keller, Ngai Ling Ma, 2008, J. Chem. Inf. Model..

CoMFA and Docking Studies on Glycogen Phosphorylase a Inhibitors as Antidiabetic Agents

Gyanendra Pandey, Anil K. Saxena, Philip Prathipati, 2005, J. Chem. Inf. Model..

Integration of Ligand and Structure Based Approaches for CSAR-2014

Kenji Mizuguchi, Philip Prathipati, K. Mizuguchi, 2016, J. Chem. Inf. Model..

Rational design, synthesis, and structure-activity relationships of 5-amino-1H-pyrazole-4-carboxylic acid derivatives as protein tyrosine phosphatase 1B inhibitors.

P. Prathipati, V. Jain, Ramana R Jinugu, 2017, Bioorganic & medicinal chemistry.

Computer-Aided Drug Design: Integration of Structure-Based and Ligand-Based Approaches in Drug Design

Anshuman Dixit, Philip Prathipati, Anil K. Saxena, 2007 .

BioSuite: a comprehensive bioinformatics software package (A unique industry-academia collaboration)

V. R. Rao, P J Narayanan, Gyanrajkumar, 2007 .

Collection and preparation of molecular databases for virtual screening

P. Prathipati, A. Saxena, A K Saxena, 2006, SAR and QSAR in environmental research.

Evaluation of Binary QSAR Models Derived from LUDI and MOE Scoring Functions for Structure Based Virtual Screening

Anil K. Saxena, Philip Prathipati, P. Prathipati, 2006, J. Chem. Inf. Model..