Identifying the Function of Hypothetical Proteins: A Bioinformatical Approach. - Prashanth Suravajhala; Tarun Gupta; Arun Gupta; Renuka Suravajhala; Shirish Siddamshetty (BIOCOMP, 2007)

In Silico screening for functional candidates amongst hypothetical proteins. - Claus Desler; Prashanth Suravajhala; May Sanderhoff; Merete Rasmussen; Lene Juel Rasmussen (BMC Bioinform., 2009)

Ten Simple Rules for Organizing a Virtual Conference - Anywhere. - Nelson N. Gichora; Segun A. Fatumo; Mtakai V. Ngara; Noura Chelbat; Kavisha Ramdayal; Kenneth B. Opap; Geoffrey H. Siwo; Marion O. Adebiyi; Amina El Gonnouni; Denis Zofou; Amal A. M. Maurady; Ezekiel F. Adebiyi; et al. (PLoS Comput. Biol., 2010)

Combining homolog and motif similarity data with Gene Ontology relationships for protein function prediction. - Hafeez Ur Rehman; Alfredo Benso; Stefano Di Carlo; Gianfranco Politano; Alessandro Savino; Prashanth Suravajhala (BIBM, 2012)

MetaBase - the wiki-database of biological databases. - Dan M. Bolser; Pierre-Yves Chibon; Nicolas Palopoli; Sungsam Gong; Daniel Jacob; Victoria Dominguez Del Angel; Daniel Swan; Sebastian Bassi; Virginia González; Prashanth Suravajhala; Seungwoo Hwang; Paolo Romano 001; et al. (Nucleic Acids Res., 2012)

Challenges in the miRNA research. - Tiratha Raj Singh; Arun Gupta; Prashanth Suravajhala (Int. J. Bioinform. Res. Appl., 2013)

Introducing the hypothome: a way to integrate predicted proteins in interactomes. - Claus Desler; Sine Zambach; Prashanth Suravajhala; Lene Juel Rasmussen (Int. J. Bioinform. Res. Appl., 2014)

Making novel proteins from pseudogenes. - P. R. Shidhi; Prashanth Suravajhala; Aysha Nayeema; Achuthsankar S. Nair; Shailja Singh; Pawan K. Dhar (Bioinform., 2015)

Is HNF4A a candidate to study zinc finger protein slug? - Prashanth Suravajhala; Tiratha Raj Singh (Int. J. Bioinform. Res. Appl., 2015)

Functional and structural insights into novel DREB1A transcription factors in common wheat (Triticum aestivum L.): A molecular modeling approach. - Anuj Kumar; Sanjay Kumar; Upendra Kumar; Prashanth Suravajhala; M. N. V. Prasad Gajula (Comput. Biol. Chem., 2016)

Long non-coding RNAs in animal genomes: challenges and promises. - Prashanth Suravajhala; Lingzhao Fang (Int. J. Bioinform. Res. Appl., 2019)

Identification and Extraction of Biomarker Information. - Vijayaraghava Seshadri Sundararajan; Shweta Shrotriya; Monisha Singhal; Pragya Chaturvedi; Prashanth Suravajhala (Encyclopedia of Bioinformatics and Computational Biology (3), 2019)

Characterizing and Functional Assignment of Noncoding RNAs. - Pradeep Kumar Tiwari; Sonal Gupta; Anuj Kumar; Mansi Sharma; Vijayaraghava Seshadri Sundararajan; Shanker L. Kothari; Sandeep K. Mathur; Krishna M. Medicherla; Prashanth Suravajhala; Babita Malik (Encyclopedia of Bioinformatics and Computational Biology (3), 2019)

A model to predict the function of hypothetical proteins through a nine-point classification scoring schema. - Johny Ijaq; Girik Malik; Anuj Kumar; Partha Sarathi Das; Narendra Meena; Neeraja Bethi; Vijayaraghava Seshadri Sundararajan; Prashanth Suravajhala (BMC Bioinform., 2019)

Computational studies to explore the role of MSI associated DNA mismatch repair mechanisms in HNPCC through expression and interaction data. - Sadhika Behl; Arushi Sharma; Prashanth Suravajhala; Tiratha Raj Singh (Int. J. Bioinform. Res. Appl., 2020)

Molecular docking and dynamics studies of curcumin with COVID-19 proteins. - Renuka Suravajhala; Abhinav Parashar; Gourav Choudhir; Anuj Kumar; Babita Malik; Viswanathan Arun Nagaraj; Govindarajan Padmanaban; Rathnagiri Polavarapu; Prashanth Suravajhala; P. B. Kavi Kishor (Netw. Model. Anal. Health Informatics Bioinform., 2021)

Biologically inspired ChaosNet architecture for Hypothetical Protein Classification. - Sneha K. H; Adhithya Sudeesh; Pramod P. Nair; Prashanth Suravajhala (CoRR, 2023)