🧵When resources are limited, the question of what knowledge is needed and when — the ‘decision gate’ analogy — becomes the principal strategic consideration in determining the priority of activities during early drug development @NatRevDrugDisc#biotech nature.com/articles/nrd11…
Evidence showing ligands & receptors to be variable and discerning instigators of signals, and translators of information, respectively, have illustrated the fallacy of assuming that the surrogate host cell is an inert vessel-Terry Kenakin @NatRevDrugDisc nature.com/articles/nrd11…
Stepping back from the rather safe HTS paradigm to discovery in virtual space which is still not yet fully developed, certainly needs courageous management decisions not only in terms of financial investments, but also in organizational evolution @Aalanine nature.com/articles/nrd10…
“The best ideas are simple, practicable with the available resources and novel enough to yield medicines that are likely to be better than probable competitors in ways that will be obvious both to doctors and their patients"-Sir David Jack @NatRevDrugDisc nature.com/articles/nrd986
Congruence between in vitro and animal models of disease and the corresponding human condition is a fundamental assumption of much biomedical research, but it is one that is rarely critically assessed. Much more open discussion of this issue is required nature.com/articles/nrd10…
Combinatorial chemistry is best described as the industrialization of chemistry; the chemistry has not changed, just the way in which it is now carried out, which is principally by exploiting instrumentation & robotics coupled to extensive use of computers nature.com/articles/nrd10…
It can be argued that obtaining data is no longer the key issue facing early drug discovery, and that the challenge has now become selecting the right experiments to run and the right point in the compound optimization process to apply the information #RRI nature.com/articles/nrd10…
A key question to address at a reasonably early stage of pharmaceutical development (preferably at the same time as, or before, the nomination of a new candidate drug) is the projected future cost of goods
-Hans-Jürgen Federsel @AstraZeneca@NatRevDrugDisc nature.com/articles/nrd11…
554 new therapeutics approved for marketing in the United States between 1980–2001. Of these therapeutics, 504 were small molecules, 40 were recombinant proteins (rDNA) and 10 were monoclonal antibodies (mAb) based on Janice Reichert @TuftsCSDD data review nature.com/articles/nrd11…
Depending on the number of concerns raised in the patent, and the number of countries in which patents are sought, the entire patenting process can take up to four-and-a-half years and cost in excess of £40,000-Philip Webber @NatRevDrugDisc#Patent#IPLaw nature.com/articles/nrd12…
The defining characteristic of any statistical approach is how it deals with uncertainty. Unlike the frequentist approach, in the Bayesian approach all uncertainty is measured by probability. Anything that is unknown has a probability distribution
-D Berry nature.com/articles/nrd19…
The average cost associated with the discovery & preclinical evaluation of a single drug candidate ranges between US$28-$38 million; a 10% improvement in predicting failure before the initiation of clinical trials could save $100m in development costs/drug nature.com/articles/nrd23…
A study published in 2003 showed that the average clinical development and approval time was more than 1 year faster for 33 protein therapeutics approved between 1980 and 2002 than for 294 small-molecule drugs approved during the same time period
-D Golan nature.com/articles/nrd23…
While allowing many of the advantages of an in vitro preparation, brain-slice field recordings, in most instances, remain indistinguishable from their in vivo counterparts. Unlike intracellular recordings, field potentials typically remain stable for hours nature.com/articles/nrd25…
Below are some of the most critical findings in the review of the clinical part of unapproved marketing authorization applications:
-Proof of the product rationale
-Magnitude of demonstrated clinical effect
-Methodological flaws of the pivotal study design nature.com/articles/nrd27…
Challenges to effective phenotypic profiling:
-Implementing profiling on relevant cell types
-Using new data-mining methods and finding ways to extract system level information from both drug-induced and genetic perturbations
-Acquiring time-dependent data nature.com/articles/nrd28…
The use of etanercept, infliximab & adalimumab— which are widely used in the treatment of rheumatoid arthritis and psoriatic arthritis is associated with an increased risk of cancer. @RheumatologyUK has established a register of patients taking these drugs nature.com/articles/nrd30…
A key challenge for the implementation of tools and techniques which advance the quality, timeliness and efficiency of drug development is the ability to work across disciplines and amongst stakeholders to understand how and when to apply these solutions nature.com/articles/nrd30…
Based on the free drug hypothesis, Smith & Kerns believe that several common drug discovery drug-plasma binding measurement practices are counterproductive:
The shift assay is not beneficial
-Optimization of the free drug fraction is scientifically unsound nature.com/articles/nrd32…
Although terms including mitotic catastrophe, anoikis, entosis, pyroptosis, parthanatos, autoschizis are being used by the scientific community, most often they refer to cell death modes that are executed by the molecular machinery of apoptosis or necrosis nature.com/articles/nrd33…
Using data extracted from the 2000–2010 patent literature Leeson & St-Gallay showed how companies such as Takeda, Lilly, Schering-Plough & AstraZeneca shifted the logP profiles of their compounds in the later part of the decade compared to the earlier part nature.com/articles/nrd37…
Will the magnitude and duration of the off-target activity in vivo lead to a biologically relevant effect?
Will the off-target-driven #invivo effect negatively affect the safety profile of the drug candidate for the targeted indication?
Here, for the first time, four major pharmaceutical companies (@AstraZeneca@GSK@Novartis and @pfizer) share their knowledge and experiences of the innovative application of existing screening technologies to detect off-target interactions of compounds nature.com/articles/nrd38…
GPCR dimerization may be common to all 3 classes of GPCRs. It is possible for a modulator binding to the orthosteric binding site of one monomer of a dimer to modulate the binding and/or function of the orthosteric ligand in the other monomer-Wootten et al nature.com/articles/nrd40…
In trying to understand why the cost per successful drug has risen dramatically, perhaps the most important observation is that less than 5% of the molecules that enter Phase I clinical trials are eventually approved as safe & effective therapeutics by FDA nature.com/articles/nrd40…
One of the hallmark attributes of academia is PIs who are engaged in curiosity-driven research. Although they may collaborate with other laboratories, they are often accustomed to leading projects in a different manner to that of pharmaceutical companies nature.com/articles/nrd45…
17 defining principles of disease-relevant assays: 1) Define the translational research objective of the assay 2) Adopt the human physiology assay checklist 3) Retrospectively analyse and measure the predictive value of each assay @hpke1980@NathalieAulner nature.com/articles/nrd.2…
🧵 A neonatal nurse has been found guilty of murdering seven babies and attempting to kill 6 more, making her the worst child serial killer in modern British history and raising urgent questions over whether her crimes could have been stopped
@joshhalliday theguardian.com/uk-news/2023/a…
Lucy Letby guilty of murdering seven babies as Angel of Death nurse at NHS hospital. She was working as a nurse at the neonatal unit at the Countess of Chester Hospital, where she was accused of murdering seven babies and trying to kill 10 others mirror.co.uk/news/uk-news/b…
Nigel Scawn @scawn_nigel, medical director @theCountessNHS, walked away without answering as a journalist asked him: 'Why did hospital managers try to stop Letby from being investigated?’
Can you imagine applying biological intelligence-BI to achieve a 3 to 5-fold increase on AstraZeneca’s reported 19% success rate in the proportion of pipeline molecules that advance from preclinical investigation to completion of Phase III clinical trials? bioindustry.org/news-listing/m…
@BraincuresLTD's biological intelligence (BI) approach eliminated 59 of 72 target-compound pairs associated with Phase III clinical failures to enable 60 to 100% likelihood of clinical success rates across compounds that target 13 different protein classes bioindustry.org/news-listing/m…
While there are nearly 400 companies that apply artificial intelligence (AI) to de-risk certain parts of the drug development cycle, @BraincuresLTD are the only company actively using the notion of biological intelligence (BI) in research and development bioindustry.org/news-listing/m…
Providing critical support to early stage data-driven health science startups, @KqLabs offers a customised framework with a 16-week accelerator programme. The program also includes workshops to inspire and nurture the next generation of start-ups @TheCrick crick.ac.uk/news/2018-09-1…
Veronique Birault, Head of Translation at the Francis Crick Institute, said: “This is the start of a very exciting journey for the ten start-ups, and also a great contribution towards building the ecosystem for data-driven health in the Kings Cross area” crick.ac.uk/news/2018-10-2…
ChatGPT is essentially a large conversational model—a big neural net that’s been trained to predict the next word—and the challenges with it are similar challenges we see with the base large language models: it may make up facts @MiraMurati CTO @OpenAI#AI time.com/6252404/mira-m…
While @sama has a flair for generating headlines by alluding to science fiction horror stories with AGI villains, @miramurati characterizes consciousness as a philosophical idea, rather than a scientific one (“It’s a bit of a different vector,” she says) fastcompany.com/90855799/6-thi…
Greg Becker, the CEO of Silicon Valley Bank sold $3.57 million of stock at an average price of $287.42 in a sell-off two weeks before it collapsed. CFO Daniel Beck ditched $575,000. The price plunged to just $39.49 before the FDIC seized the bank's assets dailymail.co.uk/news/article-1…
Federal Deposit Insurance Corporation @FDICgov, which typically protects deposits up to $250,000, said it had taken charge of the roughly $175bn (£145bn) in deposits held at the Silicon Valley Bank, the 16th largest in the US @shermannatalie@JamesClayton5 bbc.co.uk/news/business-…
SVB’s condition deteriorated so quickly that it couldn’t last just 5 more hours. That’s because its depositors were withdrawing their money so fast that the bank was insolvent, & an intraday closure was unavoidable due to a classic bank run @DennisKelleher cnn.com/2023/03/11/bus…
Women in Innovation Programme was launched in 2016 by @innovateuk with the overall aim of increasing gender equality in business-led innovation. The annual competition supports and celebrates remarkable #women entrepreneurs & senior business leaders @KTNUK iuk.ktn-uk.org/programme/wome…