Applications of Bioinformatics Tools in Medicinal Biology and Biotechnology

Shah, Harshil; Chavda, Vivek P.; Soniwala, Moinuddin

doi:10.1002/9781119865728.ch6

Cited by 4 publications

(4 citation statements)

References 66 publications

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“…In today's modern biology era, bioinformatics has become an inseparable component of the field of biology (Abdurakhmonov 2016;Banaganapalli and Shaik 2019;Shah et al 2023). The skills of acquiring and processing bioinformatics data have become crucial competencies for students to support their future careers in biology and education.…”

Section: Resultsmentioning

confidence: 99%

“…Since conventional laboratory topics and activities are not feasible through online labs, the application of bioinformatics principles emerges as the appropriate solution for laboratory activities during the pandemic. Apart from enabling remote participation and not requiring various laboratory equipment, bioinformatics has become a crucial component of contemporary biology (Abdurakhmonov 2016;Banaganapalli and Shaik 2019;Shah et al 2023). In an era where genomic and molecular information is advancing rapidly, the proficiency in various bioinformatics procedures and analyses has become a vital skill for biology students.…”

Section: Introductionmentioning

confidence: 99%

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Strengthening Professional and Spiritual Education through 21st Century Skill Empowerment in a Pandemic and Post-Pandemic Era

Arifin,

Fauzi,

Wiraatmaja

et al. 2024

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Strengthening Professional and Spiritual Education through 21st Century Skill Empowerment in a Pandemic and Post-Pandemic Era

Arifin,

Fauzi,

Wiraatmaja

et al. 2024

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“…Overall, AI-driven approaches in drug research and development offer the potential to streamline and expedite the identification, optimization, and design of novel therapeutic candidates, ultimately leading to more efficient and effective medications [ 66 ].…”

Section: Ai For Drug Discoverymentioning

confidence: 99%

Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design

Vora,

Gholap,

Jetha

et al. 2023

Pharmaceutics

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Artificial intelligence (AI) has emerged as a powerful tool that harnesses anthropomorphic knowledge and provides expedited solutions to complex challenges. Remarkable advancements in AI technology and machine learning present a transformative opportunity in the drug discovery, formulation, and testing of pharmaceutical dosage forms. By utilizing AI algorithms that analyze extensive biological data, including genomics and proteomics, researchers can identify disease-associated targets and predict their interactions with potential drug candidates. This enables a more efficient and targeted approach to drug discovery, thereby increasing the likelihood of successful drug approvals. Furthermore, AI can contribute to reducing development costs by optimizing research and development processes. Machine learning algorithms assist in experimental design and can predict the pharmacokinetics and toxicity of drug candidates. This capability enables the prioritization and optimization of lead compounds, reducing the need for extensive and costly animal testing. Personalized medicine approaches can be facilitated through AI algorithms that analyze real-world patient data, leading to more effective treatment outcomes and improved patient adherence. This comprehensive review explores the wide-ranging applications of AI in drug discovery, drug delivery dosage form designs, process optimization, testing, and pharmacokinetics/pharmacodynamics (PK/PD) studies. This review provides an overview of various AI-based approaches utilized in pharmaceutical technology, highlighting their benefits and drawbacks. Nevertheless, the continued investment in and exploration of AI in the pharmaceutical industry offer exciting prospects for enhancing drug development processes and patient care.

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“…This helps researchers prioritise safer chemical compounds and reduce potential bad effects during clinical studies.AI-powered drug research and development approaches have the potential to accelerate the discovery, optimisation, and creation of novel therapeutic candidates. This has the potential to improve pharmaceutical efficiency and efficacy (Shah, Chavda, & Soniwala, 2023).…”

mentioning

confidence: 99%

An overview on Pharmaceutical Software

2023

IRJMETS

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As the pharmaceutical industry is growing rapidly, it is important to see the different aspects and considered on it. New innovations are needed and more than that solve the scientific problems related to pharmaceutical industries production, documentation, cGMP practices, and other regulatory bodies. Now a day's computer program are more suitable to monitoring and maintaining pharmaceutical records. To fulfil the regulatory bodies requirements pharmaceutical software are been installed. In this article, the overview on software and its importance and need is covered.

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Applications of Bioinformatics Tools in Medicinal Biology and Biotechnology

Cited by 4 publications

References 66 publications

Strengthening Professional and Spiritual Education through 21st Century Skill Empowerment in a Pandemic and Post-Pandemic Era

Strengthening Professional and Spiritual Education through 21st Century Skill Empowerment in a Pandemic and Post-Pandemic Era

Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design

An overview on Pharmaceutical Software

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