1) Previously, traditional drug discovery relied on lengthy trial-and-error testing but computers now play a key role by analyzing molecular structures in databases to identify candidate molecules that are most likely to bind to targets.
2) Computer-aided drug design (CADD) uses computational chemistry across all stages of drug discovery to expedite processes like hit identification, lead optimization, and evaluating absorption and toxicity profiles.
3) CADD involves using software to visualize and model molecules in order to determine receptors, facilitate hit-to-lead selection, and design novel drugs through structure-based and ligand-based drug design.
Myself Omkar B. Tipugade ,M-Pharm Sem II, Department of Pharmaceutics , Today I upload the presentation on Artificial Intelligene , In that I discuss about the definition of AI as well as their important in Pharmaceutical field . Also give brief information about the Neural networking & fuzzy logic with diagrammatic presentation And also application of AI in product formulation. I highlight the important words.
In our final webinar of the MDC Connects Series 2021 | A Guide to Complex Medicines.
This slide deck takes a closer look at overcoming the challenges of scaling up a complex medicine.
Graham Worrall and Emily Port, CPI
Are you using phenotypic screening as a way to discover new drugs or would you like to know more about this approach?
โข Outline the steps to take when building this approach in Reaxys.
โข Demonstrate how pharmacological targets involved in cell based assay can be easily identified in Reaxys with their mechanisms of action
How we Built a Large Scale Matched Pair Analysis Engine (MCPairs) using OpenE...Al Dossetter
ย
MCPairs performed Matched Molecular Pair Analysis on large scale to build databases of exploitable knowledge which is accessible for Drug Discovery to accelerate research projects. The talk describes how we did this and some of the challenges.
UDM (Unified Data Model) - Enabling Exchange of Comprehensive Reaction Inform...Frederik van den Broek
ย
Slides from my talk at the ACS CINF Symposium on Chemical Nomenclature & Representation on 26 August 2019 in San Diego.
Abstract:
The first edition of the Beilstein Handbook of Organic Chemistry was published nearly 140 years ago. Electronic laboratory notebooks have been in use in chemistry for almost 20 years. And the life science industry still doesn't have a well-defined way of capturing and exchanging information about chemical reactions and relies on imprecise or vendor-specific data formats. Without a common language and structure to describe experiments, data integration is unnecessarily expensive and a significant part of published data has not been readily available for processing or analysis.
The Unified Data Model (UDM) project team aims to improve the situation. UDM is a collective effort of vendors and life science organizations to create an open, extendable and freely available reference model and data format for exchange of experimental information about compound synthesis and testing. Run under the umbrella of the Pistoia Alliance, the project team has published two releases of the UDM data format and it is expected that the model will continue to be improved as demand stipulates working with the Pistoia FAIR data implementation by industry community.
Myself Omkar B. Tipugade ,M-Pharm Sem II, Department of Pharmaceutics , Today I upload the presentation on Artificial Intelligene , In that I discuss about the definition of AI as well as their important in Pharmaceutical field . Also give brief information about the Neural networking & fuzzy logic with diagrammatic presentation And also application of AI in product formulation. I highlight the important words.
In our final webinar of the MDC Connects Series 2021 | A Guide to Complex Medicines.
This slide deck takes a closer look at overcoming the challenges of scaling up a complex medicine.
Graham Worrall and Emily Port, CPI
Are you using phenotypic screening as a way to discover new drugs or would you like to know more about this approach?
โข Outline the steps to take when building this approach in Reaxys.
โข Demonstrate how pharmacological targets involved in cell based assay can be easily identified in Reaxys with their mechanisms of action
How we Built a Large Scale Matched Pair Analysis Engine (MCPairs) using OpenE...Al Dossetter
ย
MCPairs performed Matched Molecular Pair Analysis on large scale to build databases of exploitable knowledge which is accessible for Drug Discovery to accelerate research projects. The talk describes how we did this and some of the challenges.
UDM (Unified Data Model) - Enabling Exchange of Comprehensive Reaction Inform...Frederik van den Broek
ย
Slides from my talk at the ACS CINF Symposium on Chemical Nomenclature & Representation on 26 August 2019 in San Diego.
Abstract:
The first edition of the Beilstein Handbook of Organic Chemistry was published nearly 140 years ago. Electronic laboratory notebooks have been in use in chemistry for almost 20 years. And the life science industry still doesn't have a well-defined way of capturing and exchanging information about chemical reactions and relies on imprecise or vendor-specific data formats. Without a common language and structure to describe experiments, data integration is unnecessarily expensive and a significant part of published data has not been readily available for processing or analysis.
The Unified Data Model (UDM) project team aims to improve the situation. UDM is a collective effort of vendors and life science organizations to create an open, extendable and freely available reference model and data format for exchange of experimental information about compound synthesis and testing. Run under the umbrella of the Pistoia Alliance, the project team has published two releases of the UDM data format and it is expected that the model will continue to be improved as demand stipulates working with the Pistoia FAIR data implementation by industry community.
Various Computational Tools used in Drug DesignFirujAhmed2
ย
Drug discovery is the process of identifying and developing new medications or drugs to treat diseases and improve human health. It involves a multidisciplinary approach that combines scientific research, experimentation, and testing to discover and create effective and safe pharmaceutical compounds.
Drug design, isย the inventive process of finding new medications based on the knowledge of a biological target. The drug is most commonly an organic small molecule that activates or inhibits the function of a biomolecule such as a protein, which in turn results in a therapeutic benefit to the patient.
Application of Machine Learning in Drug Discovery and Development LifecycleAI Publications
ย
Machine learning and Artificial Intelligence have significantly advanced in recent years owing to their potential to considerably increase the quality of life while reducing human workload. The paper demonstrates how AI and ML are used in the drug development process to shorten and enhance the overall timeline. It contains pertinent information on a variety of Machine Learning approaches and algorithms that are used across the whole drug development process to speed up research, save expenses, and reduce risks related to clinical trials. A range of QSAR analysis, hit finding, and de novo drug design applications are used in the pharmaceutical industry to enhance decision-making. As technologies like high-throughput screening and computation analysis of databases used for lead and target identification and development create and integrate vast volumes of data, machine learning and deep learning have grown in importance. It has also been emphasized how these cognitive models and tools may be used in lead creation, optimization, and thorough virtual screening. In this paper, problem statements and the corresponding state-of-the-art models have been considered for target validation, prognostic biomarkers, and digital pathology. Machine Learning models play a vital role in the various operations related to clinical trials embracing protocol optimization, participant management, data analysis and storage, clinical trial data verification, and surveillance. Post-development drug monitoring and unique industrially prevalent ML applications of pharmacovigilance have also been discussed. As a result, the goal of this study is to investigate the machine learning and deep learning algorithms utilised across the drug development lifecycle as well as the supporting techniques that have the potential to be useful.
Application of Machine Learning in Drug Discovery and Development LifecycleAI Publications
ย
Machine learning and Artificial Intelligence have significantly advanced in recent years owing to their potential to considerably increase the quality of life while reducing human workload. The paper demonstrates how AI and ML are used in the drug development process to shorten and enhance the overall timeline. It contains pertinent information on a variety of Machine Learning approaches and algorithms that are used across the whole drug development process to speed up research, save expenses, and reduce risks related to clinical trials. A range of QSAR analysis, hit finding, and de novo drug design applications are used in the pharmaceutical industry to enhance decision-making. As technologies like high-throughput screening and computation analysis of databases used for lead and target identification and development create and integrate vast volumes of data, machine learning and deep learning have grown in importance. It has also been emphasized how these cognitive models and tools may be used in lead creation, optimization, and thorough virtual screening. In this paper, problem statements and the corresponding state-of-the-art models have been considered for target validation, prognostic biomarkers, and digital pathology. Machine Learning models play a vital role in the various operations related to clinical trials embracing protocol optimization, participant management, data analysis and storage, clinical trial data verification, and surveillance. Post-development drug monitoring and unique industrially prevalent ML applications of pharmacovigilance have also been discussed. As a result, the goal of this study is to investigate the machine learning and deep learning algorithms utilised across the drug development lifecycle as well as the supporting techniques that have the potential to be useful.
Software Used In Formulation Design Process (Pharmaceutics).PdfRAHUL PAL
ย
This is an Minor project of mine, to explaining the Various software which are generally used in the designing for drug dosage form .
This project gave me more of the knowledge about drug designing.
In which lots of software are considered as Formulation.
Helping for PHARMACEUTICS, PHARMACEUTICAL ANALYSIS student. And some of articles review.
It's data are from standard as well as notebook.
In spite of extensive effort by industry and academia to develop new drugs, there are still several diseases that are in need of therapeutic agents and have yet to be developed.
10 years the identification rate of disease-associated targets has been higher than the therapeutics identification rate.
Nevertheless, it is apparent that computational tools provide high hopes that many of the diseases under investigation can be brought under control.
Similar to Designing drug virtually case study (20)
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
ย
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
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At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
ย
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
"๐ฉ๐ฌ๐ฎ๐ผ๐ต ๐พ๐ฐ๐ป๐ฏ ๐ป๐ฑ ๐ฐ๐บ ๐ฏ๐จ๐ณ๐ญ ๐ซ๐ถ๐ต๐ฌ"
๐๐ ๐๐จ๐ฆ๐ฌ (๐๐ ๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
๐๐ ๐๐จ๐ฆ๐ฌ provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
โญ ๐ ๐๐๐ญ๐ฎ๐ซ๐๐ ๐ฉ๐ซ๐จ๐ฃ๐๐๐ญ๐ฌ:
โข 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
โข SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
โขFreenBecky 1st Fan Meeting in Vietnam
โขCHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
โข WOW K-Music Festival 2023
โข Winner [CROSS] Tour in HCM
โข Super Show 9 in HCM with Super Junior
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โข Korean Vietnam Partnership - Fair with LG
โข Korean President visits Samsung Electronics R&D Center
โข Vietnam Food Expo with Lotte Wellfood
"๐๐ฏ๐๐ซ๐ฒ ๐๐ฏ๐๐ง๐ญ ๐ข๐ฌ ๐ ๐ฌ๐ญ๐จ๐ซ๐ฒ, ๐ ๐ฌ๐ฉ๐๐๐ข๐๐ฅ ๐ฃ๐จ๐ฎ๐ซ๐ง๐๐ฒ. ๐๐ ๐๐ฅ๐ฐ๐๐ฒ๐ฌ ๐๐๐ฅ๐ข๐๐ฏ๐ ๐ญ๐ก๐๐ญ ๐ฌ๐ก๐จ๐ซ๐ญ๐ฅ๐ฒ ๐ฒ๐จ๐ฎ ๐ฐ๐ข๐ฅ๐ฅ ๐๐ ๐ ๐ฉ๐๐ซ๐ญ ๐จ๐ ๐จ๐ฎ๐ซ ๐ฌ๐ญ๐จ๐ซ๐ข๐๐ฌ."
Affordable Stationery Printing Services in Jaipur | Navpack n PrintNavpack & Print
ย
Looking for professional printing services in Jaipur? Navpack n Print offers high-quality and affordable stationery printing for all your business needs. Stand out with custom stationery designs and fast turnaround times. Contact us today for a quote!
Improving profitability for small businessBen Wann
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In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Memorandum Of Association Constitution of Company.pptseri bangash
ย
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
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Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
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It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Cracking the Workplace Discipline Code Main.pptxWorkforce Group
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Cultivating and maintaining discipline within teams is a critical differentiator for successful organisations.
Forward-thinking leaders and business managers understand the impact that discipline has on organisational success. A disciplined workforce operates with clarity, focus, and a shared understanding of expectations, ultimately driving better results, optimising productivity, and facilitating seamless collaboration.
Although discipline is not a one-size-fits-all approach, it can help create a work environment that encourages personal growth and accountability rather than solely relying on punitive measures.
In this deck, you will learn the significance of workplace discipline for organisational success. Youโll also learn
โข Four (4) workplace discipline methods you should consider
โข The best and most practical approach to implementing workplace discipline.
โข Three (3) key tips to maintain a disciplined workplace.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
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Discover the innovative and creative projects that highlight my journey throughย Full Sail University. Below, youโll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
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Business Valuation Principles for EntrepreneursBen Wann
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This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
3. Introduction
Drug design is a process which involves the identification of a
compound that displays a biological profile and ends when the
biological profile and chemical synthesis of the new chemical entity
are optimized
Drug designing is otherwise known as rational drug design and it is
a method of finding new medications based on the biological
receptors and target molecules. It involves the designing of small
molecules which is complementary to the biological receptor to
which they bind and interact to cause the pharmacological actions
3
4. Modern method of drug designing is done with the aid of computers and
hence the process is known as Computer Assisted/Aided Drug Design
(CADD). It uses computational chemistry to study about the drugs and related
biological active molecules. The major aim is to find whether the given
molecule bind to the target and causes pharmacological actions or not. The
basic steps involved in CADD are:
Hit identification using virtual screening.
โข Hitโtoโlead optimization of affinity and selectivity.
โข Lead optimization of other pharmaceutical properties maintaining
affinity.
4
5. Case Summary
This case study described the experience of the medical researchers engaged in drug
discovery by showing how technology can benefit the business performance through
the acquisition and application of knowledge. In order to success and survive in all
areas of business including medical research, it is vital to facilitate access to
knowledge, improving the quality and currency of knowledge as well as using that
knowledge to improve the business processes.
It is challenging to develop new drugs because drug discovery process is so painstaking
and complicated.Traditional methods were not very accurate or effective and
depended too much on trial-and-error. However the processes of drug discovery have
been changed by the development of new processes for visualizing and designing new
drugs as well as the use of powerful computers and information technology.
5
6. โข i. Previously traditional methods of drug discovery rely on
trial-and-error testing of chemical substances on cultured cells
or animals, and matching the apparent effects to treatments.
ii. The traditional drug discovery process are painstaking and
complicated. It is take a lot of time and a lot of process and too
much trial and error.
iii. Drug development companies tried to speed up the
process by creating huge libraries of potential compounds and
using robots to quickly review hundreds of thousands of sample to
see if any worked.
6
Computers are so important in drug discovery because:-
7. iv. The researchers had no idea
and not understand the โ keyโ or the
โlockโ.
v. Scientists were used the
powerful computers to analyze
thousands of interference patterns.
vi. Reseachers must find a custom
molecule to fit that particular โlockโ
vii. The molecule must be able to
bind to target, be synthesized and
manufactured in large quantities, and
be metabolized by body at just the right
rate. 7
8. Subsequently, researchers must find a custom
molecule to fit that particular โlockโ.
This is because the molecule must be able to:-
i. Bind the target
ii. Be synthesized and manufacture in large
quantities
iii. Be metabolized by the body at just the right
rate
That is why computers are so important in the drug
discovery process.
Eventually, the high-powered computers help
evaluate the structures and properties of molecules
that are most likely to bind to that target and rapidly
search database libraries of chemical structures in
order to identify the most promising candidates.
8
9. i. In the field of medicine, drug
discovery is the process by which new
candidate medications are discovered.
ii. The objective of drug design is to
find a chemical compound that can fit to a
specific cavity on a protein target both
geometrically and chemically.
iii. It is generally recognized that drug
discovery and development are very time
and resources consuming processes.
9
In the drug discovery process computers played many roles such as:-
10. โข iv. There is an ever growing effort to apply computational power to
the combined chemical and biological space in order to streamline drug
discovery, design, development and optimization.
v. In biomedical arena, computer-aided is being utilized to
expedite and facilitate hit identification, hit-to-lead
selection, optimize the absorption, distribution,
metabolism, excretion and toxicity profile and avoid safety
issues.
vi. The result is determination of specific
receptors(targets).
10
11. vii. In the modern era, computer-aided drug
design (CADD) has considerably extended its
range of applications, spanning almost all stages
in the drug discovery pipeline, from target
identification to lead discovery, from lead
optimization to preclinical or clinical trials.
viii. Drug researchers using structure-based
design benefit from a new process of visualizing
and modeling promising compounds at the
molecular level.
11
12. Briefly, the IT plays an important role in drug discovery
process by :-
Computer --- Analyzing molecular structure
Database --- Organizing data about specific molecules
And compounds
Softwares --- Visualizing and modeling molecules
12
13. The drug designing softwares such as Insight II, Discovery Studio,
Materials Studio, Accord, Prime and Jaguar are used for structure
based drug designing and drug designing softwares such as Glide,
Macro Model, Autoโdock and Argus lab are used for ligand based
drug designing. In addition, structural based drug designing
softwares are used for molecular modeling, protein modeling and
gene sequence analysis. In case of ligand based drug designing
softwares are mainly used for docking the ligand with target drug
molecules.
Therefore, these structure based and ligand based drug
designing softwares have potential applications in the
pharmaceutical or biotechnology field to design novel drugs. A
computer needs software for its functions such as programs.
This software makes our work simpler and faster. Various
companies such as Accelrys, Schrodinger, Auto Dock and Argus
Lab offering drug designing softwares
13