Recent Methods in Identifying Drug Targets using Insilico Methods | Zendy

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Recent Methods in Identifying Drug Targets using Insilico Methods

Author(s) -

Polani B. Ramesh Babu,

G Nursimhan,

Mr Manikandan,

R. Priya,

Manikandan Anandhan,

S Sharmila,

Rebecca Jeyanthi,

M Das,

C Aarthi,

Ramesh Babu,

P,

S Sharmila,

Rebecca Jeyanthi,

M Das,

M Saduzzaman,

T Jayalakshmi,

P Krishnamoorthy,

Ramesh Babu,

P Vidhya,

B,

Jeyanthi Rebecca,

L Susithra,

G Sharmila,

S Das,

M,

C Aarthi,

Ramesh Babu,

P,

S Anbuselvi,

Rebecca Jeyanthi,

Sathish Kumar,

M Senthilvelan,

T,

A Soniyapriyadharishni,

Ramesh Babu,

P,

S Sharmila,

Rebecca Jeyanthi,

Naveen Chandran,

P Kowsalya,

E Dutta,

H Ray,

S Kripanand,

N,

S Sharmila,

Rebecca Jeyanthi,

M Saduzzaman,

Jeyanthi Rebecca,

L Sharmila,

S Das,

M Seshiah,

C,

P Krishnamoorthy,

Praveen Kumar,

P,

Ramesh Babu,

P,

S Sharmila,

Rebecca Jeyanthi,

S Sinha,

P Rajasulochana,

Ramesh Babu,

P Krishnamoorthy,

P,

Jeyanthi Rebecca,

L Dhanalakshmi,

V Sharmila,

S,

S Sharmila,

Rebecca Jeyanthi,

Ramesh Babu,

P Krishnamoorthy,

P Gayathri,

G,

S Sharmila,

Rebecca Jeyanthi,

L Saduzzaman,

M,

S Kumar,

M Das,

Rebecca Jeyanthi,

S Sharmila,

M Das,

Rebecca Jeyanthi,

S Sharmila,

Anu,

A Banerjee,

D Kumar,

Ramesh Babu,

P Krishnamoorthy,

P Rekha,

R,

M Devi,

Rebecca Jeyanthi,

S Sumathy,

Ramesh Babu,

P Miller,

T Chidekel,

A Shaffer,

T,

B Bhuvaneswari,

R Hari,

R Vasuki,

Suguna,

Abraham Samuel,

F Mohan,

V Jeyanthi,

Rebecca,

P Narayani,

J Anbu,

R Vasuki,

R Hari,

Paul Das,

M Jeyanthi,

Rebecca Sharmila,

S Anu,

A Banerjee,

D Kumar,

R Vasuki,

R Hari,

S Pandian,

G Arumugam,

M Saduzaman,

S Sharmila,

Rebecca Jeyanthi,

Senthil Kumar,

K Vasuki,

R Priya,

R,

S Srivastava,

I Seethalakshmi,

Rebecca Jeyanthi,

M Gireeshan,

R Vasuki,

T Krishnakumar,

Jeyanthi Rebecca,

L Dhanalakshmi,

V Sharmila,

S Das,

M,

Jeyanthi Rebecca,

L Dhanalakshmi,

V Thomas,

T,

Amirul Mohdhelmyabdwahab,

Herdawatie Talib,

Ayob Kadir,

A Johari,

Noraziah,

M Roslina,

Sidek,

A Ariffin,

M Bousbia-Salah,

A Larbi,

M Bedda,

J Brabyn,

Heyes,

M Shrutidambhare,

G Esc,

Prof Nagpur,

Sakharem,

Tech,

G Esc,

Al Majid,

Mahmoud Shamsi,

Jeedella Al-Qutayri,

A Garcia,

R Fonseca,

Duran,

G Gayathri,

M Vishnupriya,

R Nandhini,

Ms Banupriya,

Arijitdatta,

Amit Kumar,

Rusha Patra,

M Manjunatha,

J Mukhopadhyay,

A,

Majid Alshamsi,

Mahmoud Al-Qutayri,

Jeedella

Publication year - 2019

Publication title -

international journal of innovative technology and exploring engineering

Language(s) - English

Resource type - Journals

ISSN - 2278-3075

DOI - 10.35940/ijitee.i3150.0789s319

Subject(s) - docking (animal) , computer science , drug discovery , affinities , in silico , protein–ligand docking , computational biology , chemistry , stereochemistry , biology , medicine , virtual screening , biochemistry , gene , nursing

Concentrates on ligand receptor connection is a critical region in new medication discovery program for different targets, sinsce cell surface receptor is recognized as perfect focus for some drug targets. In this study, protein and ligand will be used as it is in lock and key model respectively. Sub-atomic docking might be characterized as an enhancement issue. We observed that the both tertiary structure of protein and ligand were more compatible with high binding affinities, a "submit glove" similarity is more suitable than "lock-and-key". Throughout the procedure, the ligand and the protein alter their compliance to accomplish an in general "best-fit" and this sort of structural modifications bringing about the general restricting is alluded to as "initiated fit". The focal point of atomic docking is to computationally animate the sub-atomic acknowledgment process. The point of atomic docking is to predict the graphical model using in silico methods to improve the compatibility between two targets with the end goal that the free vitality of the general framework is limited

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