Browsing by Author "Shalini, Ganeshan"

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IN SILICO MODELING AND MOLECULAR DOCKING INSIGHTS OF KAEMPFERITRIN FOR COLON CANCER-RELATED MOLECULAR TARGETS
(2021-09-09) Mydhili, Govindarasu; Shalini, Ganeshan; Mohammad, Azam Ansari; Mohammad, N. Alomary; Sami, AlYahya; Saad, Alghamdi; Mazen, Almehmadi; Govindasamy, Rajakumar; Muthu, Thiruvengadam; Manju, Vaiyapuri
Colorectal cancer is one of the most common cancers worldwide, and it is also one of the major causes of mortality from cancer. Chemotherapy drugs are generally limited due to various complications, as well as the development of resistance and recurrence. The in silico docking investigation involved exploration of protein or nucleotide, 3D structural modeling, molecular docking, and binding energy calculation. Protein-protein interactions are significant to many biological processes, and their disruption is a leading cause of disease. The use of small molecules to modulate them is gaining popularity, but protein interfaces usually lack specific cavities for processing small molecules. MMP-2, PARP, iNOS, Chk1, proteins were used in the molecular docking analysis of kaempferitrin and 5-flurouracil. The compound kaempferitrin had the highest binding energy scores with most of the target proteins, according to molecular docking results. The findings suggest it could be used to develop new drugs for cancer therapy.
IN SILICO MODELING AND MOLECULAR DOCKING INSIGHTS OF KAEMPFERITRIN FOR COLON CANCER-RELATED MOLECULAR TARGETS
(Elsevier, 2021-07-29) Mydhili, Govindarasu; Shalini, Ganeshan; Mohammad, Azam Ansari; Mohammad N, Alomary; Sami, AlYahya; Saad, Alghamdi; Mazen, Almehmadi; Govindasamy, Rajakumar; Muthu, Thiruvengadam; Manju, Vaiyapuri
Colorectal cancer is one of the most common cancers worldwide, and it is also one of the major causes of mortality from cancer. Chemotherapy drugs are generally limited due to various complications, as well as the development of resistance and recurrence. The in silico docking investigation involved exploration of protein or nucleotide, 3D structural modeling, molecular docking, and binding energy calculation. Protein-protein interactions are significant to many biological processes, and their disruption is a leading cause of disease. The use of small molecules to modulate them is gaining popularity, but protein interfaces usually lack specific cavities for processing small molecules. MMP-2, PARP, iNOS, Chk1, proteins were used in the molecular docking analysis of kaempferitrin and 5-flurouracil. The compound kaempferitrin had the highest binding energy scores with most of the target proteins, according to molecular docking results. The findings suggest it could be used to develop new drugs for cancer therapy.
IN SILICO MODELING AND MOLECULAR DOCKING INSIGHTS OF KAEMPFERITRIN FOR COLON CANCER-RELATED MOLECULAR TARGETS
(Elsevier, 2021-09) Mydhili, Govindarasu; Shalini, Ganeshan; Mohammad, Azam Ansari; Mohammad N, Alomary; Sami, AlYahya; Saad, Alghamdi; Mazen, Almehmadi; Govindasamy, Rajakumar; Muthu, Thiruvengadam; Manju, Vaiyapuri
Colorectal cancer is one of the most common cancers worldwide, and it is also one of the major causes of mortality from cancer. Chemotherapy drugs are generally limited due to various complications, as well as the development of resistance and recurrence. The in silico docking investigation involved exploration of protein or nucleotide, 3D structural modeling, molecular docking, and binding energy calculation. Protein-protein interactions are significant to many biological processes, and their disruption is a leading cause of disease. The use of small molecules to modulate them is gaining popularity, but protein interfaces usually lack specific cavities for processing small molecules. MMP-2, PARP, iNOS, Chk1, proteins were used in the molecular docking analysis of kaempferitrin and 5-flurouracil. The compound kaempferitrin had the highest binding energy scores with most of the target proteins, according to molecular docking results. The findings suggest it could be used to develop new drugs for cancer therapy.
INSIGHTS FROM THE MOLECULAR DOCKING ANALYSIS OF COLISTIN WITH THE PMRA PROTEIN MODEL FROM ACINETOBACTER BAUMANNII
(Pub Med, 2022) Shalini, Ganeshan; Mohammad, Reza Shakibaie; Rajaguru, Rajagopal
Acinetobacter baumannii (AB) is one of the most common causes of nosocomial infections. Therefore, it is of interest to design and develop drugs against Acinetobacter baumannii. A strain of AB showing MIC 32 µg/ml against colistin was isolated from a hospital environment in Iran. Hence, we document data to glean insights from the molecular docking analysis of colistin with the PmrA protein from this bacterium.
INSIGHTS FROM THE MOLECULAR DOCKING ANALYSIS OF COLISTIN WITH THE PMRA PROTEIN MODEL FROM ACINETOBACTER BAUMANNII
(2022-01-21) Shalini, Ganeshan; Mohammad, Reza Shakibaie; Rajaguru, Rajagopal
Acinetobacter baumannii (AB) is one of the most common causes of nosocomial infections. Therefore, it is of interest to design and develop drugs against Acinetobacter baumannii. A strain of AB showing MIC 32 µg/ml against colistin was isolated from a hospital environment in Iran. Hence, we document data to glean insights from the molecular docking analysis of colistin with the PmrA protein from this bacterium.