scholarly journals How can we improve peptide drug discovery? Learning from the past

Author(s):  
David J. Craik ◽  
Meng-Wei Kan
2017 ◽  
Vol 17 (3) ◽  
pp. 305-318 ◽  
Author(s):  
Donald Sikazwe ◽  
Raghunandan Yendapally ◽  
Sushma Ramsinghani ◽  
Malik Khan

2019 ◽  
Vol 19 (1) ◽  
pp. 4-16 ◽  
Author(s):  
Qihui Wu ◽  
Hanzhong Ke ◽  
Dongli Li ◽  
Qi Wang ◽  
Jiansong Fang ◽  
...  

Over the past decades, peptide as a therapeutic candidate has received increasing attention in drug discovery, especially for antimicrobial peptides (AMPs), anticancer peptides (ACPs) and antiinflammatory peptides (AIPs). It is considered that the peptides can regulate various complex diseases which are previously untouchable. In recent years, the critical problem of antimicrobial resistance drives the pharmaceutical industry to look for new therapeutic agents. Compared to organic small drugs, peptide- based therapy exhibits high specificity and minimal toxicity. Thus, peptides are widely recruited in the design and discovery of new potent drugs. Currently, large-scale screening of peptide activity with traditional approaches is costly, time-consuming and labor-intensive. Hence, in silico methods, mainly machine learning approaches, for their accuracy and effectiveness, have been introduced to predict the peptide activity. In this review, we document the recent progress in machine learning-based prediction of peptides which will be of great benefit to the discovery of potential active AMPs, ACPs and AIPs.


Author(s):  
Danhua Ge ◽  
Xin Wang ◽  
Xue-Qiang Chu

The past decades have witnessed a boom in alkynylation mainly owing to the importance of alkynyl-containing molecules in organic synthesis, drug discovery, polymer chemistry, and materials science. Besides conventional strategies,...


Crystals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 676
Author(s):  
Tom L. Blundell

Over the past 60 years, the use of crystals to define structures of complexes using X-ray analysis has contributed to the discovery of new medicines in a very significant way. This has been in understanding not only small-molecule inhibitors of proteins, such as enzymes, but also protein or peptide hormones or growth factors that bind to cell surface receptors. Experimental structures from crystallography have also been exploited in software to allow prediction of structures of important targets based on knowledge of homologues. Crystals and crystallography continue to contribute to drug design and provide a successful example of academia–industry collaboration.


Author(s):  
Shivani Mithula ◽  
Adinarayana Nandikolla ◽  
Sankaranarayanan Murugesan ◽  
Venkata GCS Kondapalli

Among all nitrogen-containing heterocycles, the 1,8-naphthyridine scaffold has recently gained an immense amount of curiosity from numerous researchers across fields of medicinal chemistry and drug discovery. This new attention can be ascribed to its versatility of synthesis, its reactiveness and the variety of biological activities it has exhibited. Over the past half-decade, numerous diverse biological evaluations have been conducted on 1,8-naphthyridine and its derivatives in a quest to unravel novel pharmacological facets to this scaffold. Its potency to treat neurodegenerative and immunomodulatory disorders, along with its anti-HIV, antidepressant and antioxidant properties, has enticed researchers to look beyond its broad-spectrum activities, providing further scope for exploration. This review is a consolidated update of previous works on 1,8-naphthyridines and their analogs, focusing on the past 5 years.


2018 ◽  
pp. 399-404
Author(s):  
S. Nassir Ghaemi

Newer and better medications are obtained as part of the drug discovery process, which occurs mainly in the pharmaceutical industry. This process is hampered by excessive attention to marketing demands, as opposed to scientific exploration. It also is impaired by the psychiatric profession’s mistaken ideologies, whether psychoanalytic orthodoxy in the past or DSM beliefs of the present. Wrong clinical phenotypes impair finding new pharmacological mechanisms and targeting them well to the write clinical indications. Perhaps as a consequence, no treatments have been developed in the last few decades, since DSM-III, that are more effective than prior agents. Progress for the future in drug discovery will require not just better neurobiological work, but also a new approach to clinical diagnoses in psychiatry.


2020 ◽  
Vol 2020 ◽  
pp. 1-41
Author(s):  
Aida Rodriguez-Garcia ◽  
Jacqueline Oliva-Ramirez ◽  
Claudia Bautista-Flores ◽  
Samira Hosseini

The past few decades have shown significant advancement as complex in vitro humanized systems have substituted animal trials and 2D in vitro studies. 3D humanized platforms mimic the organs of interest with their stimulations (physical, electrical, chemical, and mechanical). Organ-on-chip devices, including in vitro modelling of 3D organoids, 3D microfabrication, and 3D bioprinted platforms, play an essential role in drug discovery, testing, and assessment. In this article, a thorough review is provided of the latest advancements in the area of organ-on-chip devices targeting liver, kidney, lung, gut, heart, skin, and brain mimicry devices for drug discovery, development, and/or assessment. The current strategies, fabrication methods, and the specific application of each device, as well as the advantages and disadvantages, are presented for each reported platform. This comprehensive review also provides some insights on the challenges and future perspectives for the further advancement of each organ-on-chip device.


2021 ◽  
Author(s):  
Bethany M. Cooper ◽  
Jessica Iegre ◽  
Daniel H. O' Donovan ◽  
Maria Ölwegård Halvarsson ◽  
David R. Spring

A tutorial review showcasing how peptide–drug conjugates can offer the versatility needed for a successful drug discovery approach, their problems and future opportunities.


2015 ◽  
Vol 10 (9) ◽  
pp. 975-989 ◽  
Author(s):  
Heping Zheng ◽  
Katarzyna B Handing ◽  
Matthew D Zimmerman ◽  
Ivan G Shabalin ◽  
Steven C Almo ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document