Research & Collaboration
Total Funding:
- Grant to Department :50 Lakh
- Individual Grant to Faculty: 2.5 Crore
Recent Publication(Current Year):
2022
- Haldar, A., Singh, A.K. The association of long non-coding RNA in the prognosis of oral squamous cell carcinoma. Genes Genom (2022). https://doi.org/10.1007/s13258-021-01194-w.
Total Publication (Numbers only): 250
Project:
| Project Title | Name of Principal Inv. | Funding Agency | Amount | Duration |
|---|---|---|---|---|
| Design and development of inhibitors against Nucleotide Binding Domain of P-gp for enhancing Bioavailability and reversal of multidrug resistance | Dr. Durg Vijay Singh | UGC (2013-15) | 06 Lacs | |
| Design and Development of herbicide against carboxyl-terminal (CT) domain of ACCase of P.minor to regain resistivity in resistance biotypes | Dr. Durg Vijay Singh | DST Kiran (2014-15) | 3.26 Lacs | |
| Identification of molecular species that have potential to compete with insulin for receptor binding | Dr. Durg Vijay Singh | SERB (2016-20) | 14 Lacs | |
| Design and Development of Herbicide to Regain Sensitivity in Phalaris Minor Resistant Biotypes | Dr. Durg Vijay Singh | DST-SERB (2016-19) | 31 Lacs | |
| In-Silico study on potent inhibitors against iron overload and cardiac arrhythmia in beta-thalassemia (RP-56) | Dr. Ajay Kr. Singh, PI Dr. Anil Kumar (Co-PI) |
ICMR (2019-Ongoing) | 35 Lacs | |
| Rational approach of antibiotic discovery and development against, a staphylococcus aureus serine-threonine phosphatases (Stp) protein (Project ID RP-60) | Dr. Durg Vijay Singh (PI) Dr. Girish Chandra (Co-PI) |
ICMR (2020-ongoing | 31 Lacs | |
| Gene interaction landscape inferred from expression data to search for diabetes effector molecules (Ref. 2020-3854) | Dr. Vijay Kr. Singh (PI) Dr. K.K. Ojha (Co-PI) |
ICMR (2020-Ongoing) | 20 Lacs | |
| Development of herbicides against Acetyl CoA Carboxylase to address resistance and cross-resistance against Phalaris minor: A weed of wheat crop field.” | Dr. Durg Vijay Singh (PI), Prof. RS Rathore (Co-PI), Dr. Girish Chandra (Co-PI) |
(2021 Ongoing) | 50.37 Lacs |
Specific areas of research
Disease Biology using modeling and omics approaches: The research in the Department of Bioinformatics, is primarily focused towards understanding the underlying process in disorders, with special emphasis on neurodegenerative, respiratory, monogenic & metabolic disorders, infectious disease & cancer.
-
- New algorithms and database have been developed to provide solution for drug and biologics design such as Databases of therapeutic targets and novel leads pertaining to natural products (MedPServer), de novo peptide design (Conflore), curcumin analogs and their molecular & disease targets (CRDB), a workflow for complete 3D-QSAR modeling, virtual screening & design (3D-QServer), simple sequence repeats database, and online server to detect simple sequence repeats with length variation etc.
- Analysis of muscle transcriptome to identify biologically relevant class of diabetic patient: We are analyzing large transcriptome datasets to identify subset of diabetic subjects having homogeneous expression of genes related to selected biological processes/pathways.
- Genome characterization of gall bladder cancer from Indo-Gangetic belt of India
- Evolutionary sequence analysis to detect drug resistance in pathogens
- Role of lnc RNA in oral and cervical cancer to understand the mechanism and its significance in oncogenesis.
- In silico study on potent inhibitors against iron overload and Cardiac arrhythmia in beta thalassemia
- Development (Design, Synthesis and Biological Evaluation) of novel Dual-binding Cation-π Inhibitors of AChE:
- Design of flavonoid based SARS-CoV-2 MPRO inhibitors
- Identification of Herb-based Lead Molecules, Optimization and Testing using case study of herbs available in Indian sub-continent for Asthma & Respiratory-tract Infection
- Other areas:
Design and development of active molecule against herbicide resistance weeds & validation of leads through wet-lab and field assay as multiple and cross resistances in weeds is a major threat in grain production. - Comparative genomics of prokaryotes: To estimate the origin of replication site based on the nucleotide frequency of the prokaryotic genomes.
MoU/Grant:
Contact Us:
Reception : +91 - 631 – 2229 530
Information : +91 - 631 – 2229 507
Address : NH-120, Gaya Panchanpur Road
Post. Fatehpur,
Gaya – 824236 (Bihar) India
EMAIL : registrar@cub.ac.in
LOCATE US
FOLLOW US
