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From Soil to the Clinic: 150 Years of Natural Product-Inspired Antifungal Drugs

Fungal infections are often treated as a niche clinical problem. They are not. Severe fungal diseases cause a major global burden of illness and death, particularly among people with impaired immunity, critical illness, cancer, transplantation, HIV infection or severe respiratory disease. Yet fungal infections remain underdiagnosed, underfunded and difficult to treat.

We have just published a new review of antifungal medicines detailing natural product (NP) and NP-derived agents introduced for human use between 1872 and August 2026. Across more than 150 years, 30 NP-inspired antifungal therapeutic entities have entered human use. Fourteen are NPs themselves, while 16 are semisynthetic derivatives or synthetic analogues with a direct structural relationship to a NP precursor.

A difficult pathogen problem

Antifungal drug discovery is challenging as fungi are eukaryotes and, therefore, share many cellular features with humans. That evolutionary proximity limits the number of fungal-selective targets and increases the risk that a compound active against a fungal cell may also damage human cells.

At the same time, the clinical need is rising. Multidrug-resistant Candida auris, azole-resistant Aspergillus fumigatus and terbinafine-resistant Trichophyton indotineae have emerged as important threats. Some moulds, including members of the Mucorales and Lomentospora prolificans, remain difficult or impossible to treat reliably with existing systemic agents. The problem is not only resistance. Antifungal treatment is constrained by toxicity, drug–drug interactions, limited oral options for invasive disease, variable access to diagnostics and major gaps in activity against particular pathogens.

Natural products helped build the antifungal armamentarium

The earliest agents in the review reflect a very different era of medicine. Benzoic acid was used as an antiseptic from about 1872, and topical combinations of benzoic acid with salicylic acid (e.g. such as Whitfield’s ointment) were used in the early twentieth century for dermatophyte infections. The modern antifungal era accelerated in the 1950s with the arrival of the polyenes. These NP macrolides, produced by soil-dwelling actinomycetes, transformed the treatment of serious fungal infections.

Polyenes nystatin and amphotericin B: landmark discoveries in the 1950s

The polyene complex nystatin was introduced in the United States in 1954 and became one of the first major antifungal medicines. It remains widely used for mucosal, gastrointestinal and superficial Candida infections. Its discovery also carries an exceptional scientific legacy. Nystatin was isolated from Streptomyces noursei by Elizabeth Lee Hazen and Rachel Fuller Brown at the New York State Department of Health. Their royalty income helped establish the Brown–Hazen Research Fund, which supported medical-mycology research and later scholarships for women scientists.

Another polyene, amphotericin B, followed in 1958 and remains one of the most important antifungal drugs ever introduced. It has broad activity against organisms including Candida, Cryptococcus, Aspergillus and many Mucorales. However, its use can come at a cost. Amphotericin B binds fungal ergosterol, but its interaction with human cholesterol contributes to infusion reactions and dose-limiting nephrotoxicity. Lipid-based formulations, particularly liposomal amphotericin B, substantially improved tolerability while preserving the drug’s clinical utility. Despite newer therapies, amphotericin B remains a cornerstone treatment for severe invasive mycoses and is also used against visceral leishmaniasis.

Nature provided scaffolds; medicinal chemistry made medicines

The review’s most important broader lesson is that NPs do not need to be used unchanged to be transformative. Natural scaffolds can provide the starting point for medicinal chemistry that improves safety, solubility, stability, pharmacokinetics or route of administration.

The echinocandins are perhaps the clearest example. These drugs emerged from fungal lipopeptide NPs that inhibited β-1,3-D-glucan synthase, an enzyme required to build the fungal cell wall. The original NP leads were relatively metabolically unstable, poorly soluble or toxic for routine clinical use. Semi-synthetic optimisation ultimately produced four clinical drugs: caspofungin (first approved in 2001), micafungin (2002), anidulafungin (2006) and rezafungin (2023). These agents are now central therapies for invasive candidiasis, with activity against Candida and, in relevant settings, Aspergillus. Their selective fungal cell wall target is particularly valuable because humans do not have a cell wall. Rezafungin illustrates how medicinal chemistry can change not only potency but also clinical practicality. It is an anidulafungin derivative engineered for greater chemical stability and an approximately 130-hour human half-life, enabling once-weekly intravenous dosing.

The value of a different scaffold

Ibrexafungerp provides another example of a NP-inspired advance. It is a semi-synthetic derivative of enfumafungin, a fungal-derived fernane triterpene glycoside. Like the echinocandins, it inhibits β-1,3-D-glucan synthase, but it interacts with a non-identical, partially overlapping binding region. That distinction matters because ibrexafungerp retains activity against many, though not all, echinocandin-resistant isolates. It also offers oral administration, a major practical advantage over the intravenously administered echinocandins. However, the story is also a reminder that approval does not automatically guarantee continuous patient access. Ibrexafungerp retained US regulatory approval but its commercial supply was interrupted after a voluntary recall associated with a potential manufacturing cross-contamination issue; no confirmed relaunch date had been identified at the review’s August 2026 cut-off.

A success story with a warning

The 30-drug dataset is encouraging: NPs and their derivatives have repeatedly delivered clinically important antifungals. Polyenes, griseofulvin, echinocandins and flucytosine have saved lives or transformed the management of fungal disease. Even older topical agents reveal how fungal therapy evolved from broad antiseptics towards targeted medicines. However, the dataset also reveals a limitation. Recent approvals are heavily concentrated around one biological process: fungal cell wall synthesis through β-1,3-D-glucan synthase inhibition. That target has clearly been productive, but a robust antifungal future cannot depend on repeated variations of a small number of mechanisms.

Resistance already occurs. In echinocandins, clinically important resistance is most often associated with mutations in the FKS1 or, particularly in Nakaseomyces (previously Candida) glabrata, FKS2 genes encoding glucan-synthase subunits. Polyene resistance remains less common overall, but altered ergosterol biosynthesis, cell wall remodelling and stress-response pathways can reduce susceptibility. Flucytosine, meanwhile, is especially vulnerable to resistance when used alone because fungi can lose or alter the uptake and metabolic pathways required to activate the drug.

The message is not that current antifungals have failed. Rather, it is that success must not breed complacency.

What comes next?

NPs alone will not solve every antifungal problem. But history shows that they have repeatedly provided the foundations on which antifungal medicine advances. From nystatin and amphotericin B to the echinocandins and ibrexafungerp, the natural world has supplied both medicines and molecular blueprints. The task now is to use those lessons to find the next generation of antifungal therapies before resistance, toxicity and persistent therapeutic gaps make the current options insufficient.

#AntifungalResearch #AntifungalResistance #NaturalProducts #DrugDiscovery #FungalDisease #MedicinalChemistry #InfectiousDiseases #GlobalHealth

The “Elon Code”: What Marc Andreessen’s Take on Elon Musk Means for Hard Tech and Biotech

For something different…

I recently listened to Marc Andreessen’s March 2026 conversation on the David Senra‘s podcast (Spotify and YouTube), and one section stopped me in my tracks: his deep dive into how Elon Musk manages. Marc doesn’t just talk about Elon as an inventor or showman. He frames Musk as “maybe the greatest manager of our era” – a modern Henry Ford whose companies are extensions of his mind, will, and operating system. In Marc’s telling, Tesla and SpaceX are not just corporations; they are founder-run machines designed around a very specific management code.

I’ve started thinking about that code as “The Elon Code” – and how much of it could (and perhaps should) be ported into biotech.


Founder Logic vs Manager Logic

One of Marc’s central points is the contrast between founder logic and manager logic.

Manager logic is optimized for stability: layers of reporting, committees, dashboards, and process. Founder logic is optimized for forward motion: direct engagement with the product, technology, and people; continuous redesign of the system; and very little patience for ritualised “management theatre.” Marc’s claim is that Elon represents the strongest living example of founder logic at industrial scale. He compares him to Henry Ford: someone who doesn’t just run a company, but rewrites the rulebook of an industry.

In this view, the company and the founder are effectively one system. You don’t “swap in” an interchangeable manager to run SpaceX any more than you could have swapped in a random executive to run Ford in 1914.


Pillar 1: Hands-On, Engineer-First Leadership

The first element of the Elon Code is that the CEO is a technical peer, not a presentation layer. Elon doesn’t only read slides about rockets and cars; he participates directly in design discussions, engineering reviews, and system-level decisions. Engineers are not three (or 12) layers removed from the person in charge – they’re in the room with him, arguing about designs and constraints.

That has two big effects: (1) It sets an extremely high bar for technical depth in leadership, and (2) It creates positive selection: strong engineers want to work where the person at the top is genuinely engaged with their craft, not just their status reports.

In practice, this flips the usual hierarchy. Instead of engineers being downstream from management, management is built around enabling and challenging the best engineers.


Pillar 2: Technical Truth Over Narratives

Marc also emphasizes Elon’s obsession with truth at the source.

Large organizations tend to accumulate what he calls “compounding lies”: every layer summarises, sanitises, and spins reality just a little bit. By the time the CEO sees a dashboard, the mess has been smoothed into a narrative. Elon’s countermeasure is simple but radical: (1) Skip as many layers as possible, (2) Talk directly to the people doing the work, and (3) Look at the real system – the line, the rocket, the code, the data – not just the slide deck.

In other words: physics, code, and factory facts beat PowerPoint narratives. The cultural message is clear: don’t tell me a story, show me the system.


Pillar 3: Systematic Bottleneck Removal

Another key behaviour Marc highlights is Elon’s ritual of systematic bottleneck removal.

The idea is straightforward: Continuously identify the single biggest constraint on progress or throughput. Go there physically or mentally – the factory line, the subsystem, the team. Work on it personally until the constraint moves. Repeat.

If you do that every week, the CEO effectively becomes a velocity multiplier: over a year, you’ve helped solve ~50 of the biggest problems in the company, not by delegating them into a bureaucracy, but by reshaping the system around them. This is very different from the traditional CEO calendar filled with reviews, ceremonies, and low-stakes meetings. The work of leadership is reframed as: “Find the constraint, fix the constraint.”


Pillar 4: “Milli-Elon” Intensity

Marc also introduces a memorable concept: “milli-Elon” as a tongue-in-cheek unit of intensity.

Elon is set at 1,000 milli-Elons, while most people operate at single-digit milli-Elons. The actual number doesn’t matter. What matters is the idea: there is an extreme, sustained level of drive and pain tolerance behind the outcomes we see. Importantly, this isn’t just about long hours. It’s about: Willingness to confront uncomfortable truths.

Staying with hard problems long past the point most people give up. Keeping the pressure on systems, processes, and people until they change. Even operating at 50 or 100 milli-Elons – a small fraction of that bar – would still constitute intense leadership in most organizations.


Pulling It Together: The Elon Code as a Loop

If you put these elements together, you get a simple loop:

  1. Hands-on, engineer-first leadership – the founder is in the technical trenches.
  2. Go to the source of truth – bypass reporting theatre, look at the real system.
  3. Relentless bottleneck removal – always work on the hardest constraint.
  4. Repeat at milli-Elon intensity – keep the loop running far longer and harder than average leaders.

That loop is Marc’s answer to the question: Why do companies like Tesla and SpaceX do things incumbents literally can’t? It isn’t just the ideas or the capital. It’s the operating system.


Can the Elon Code Work in Biotech?

This is where it gets interesting for our world. Biotech is full of:

  • Complex, multi-step workflows (wet lab → data → analysis → reporting).
  • Deep technical constraints (biology, chemistry, manufacturing).
  • Heavy regulatory overhead and legacy processes.

On paper, that looks like a “managerial” environment. In practice, I think it’s primed for exactly the kind of founder logic Marc is describing. Here’s how the Elon Code might translate:

  • Hands-on leadership in the stack
    CSOs, CTOs, and technically fluent founders who can move between cell culture, sequencing, ML models, and regulatory conversations – not just sit on top of them.
  • Truth at the bench and in the data
    Senior leaders who regularly go to the lab, read raw data, and talk directly to the people running experiments and pipelines – not only to program managers.
  • Bottleneck hunting as a habit
    Treating “what is today’s biggest constraint?” as a standing agenda item: it might be an assay, a pipeline, a QC step, a regulatory interaction, or a data-access issue.
  • Intensity where it matters
    Not performative overwork, but real willingness to push through ambiguity, slow cycles, and organisational friction to get a therapy, platform, or dataset over the line.

Layering Agentic AI on Top

Where I think biotech can add a twist to the Elon Code is in the use of agentic AI – systems that don’t just answer questions but can act, orchestrate tools, and help run workflows. Imagine applying the same loop with AI as an amplifier:

  1. Instrument workflows end-to-end
    Agentic AI agents sit across wet-lab automation, LIMS, bioinformatics pipelines, and documentation systems, continuously collecting signals about delays, errors, and rework.
  2. Surface real bottlenecks, not just anecdotes
    Instead of relying on whoever complains loudest, AI flags where cycle times are spiking, where quality drops, or where handoffs repeatedly break.
  3. Propose and test fixes
    Agents can suggest protocol changes, re-order work queues, adjust resource allocation, or even auto-draft SOP updates and documentation for human review.
  4. Close the loop faster
    Leaders still make the judgment calls, but the “find the bottleneck → experiment with fixes → remeasure” cycle becomes much faster and more data-driven.

In other words: relentless bottleneck removal stays human-led, but becomes AI-accelerated.


A Practical Question for Biotech Leaders

You don’t need to be Elon – or want to be – to borrow some of this playbook. A few important questions worth asking inside any biotech company:

  • How often do our senior leaders actually see the real system (bench, pipeline, manufacturing, safety data) rather than just slide decks?
  • Do we have a shared, explicit answer to: “What is the biggest bottleneck in our work right now?”
  • Are we designing roles and org structure so that the best scientific and technical talent can work with leadership on hard problems, rather than just reporting up?
  • Where could we introduce agentic AI to make the bottleneck loop faster and more objective?
  • As teams become smaller, there will be more opportunities to integrate the Elon Code into workflows.

You don’t have to adopt all of the Elon Code. But even small moves toward hands-on leadership, truth at the source, and deliberate bottleneck hunting can radically improve how a biotech organisation learns and executes.

#Leadership #Management #Innovation #ElonMusk #Founders #Biotech

Cannabidiol (CBD): From Cannabis Constituent to Clinically Validated Medicine

CBD’s path from a cannabis compound to a regulated pharmaceutical is a standout example of natural product drug development. In my recent Natural Product Reports review, CBD was noted as a component of Sativex® (THC/CBD extract). However, this undersells its potential, as CBD has also been approved as a standalone drug. This raises the question: “Where does pharmaceutical-grade CBD stand now?”

Approved CBD Medicine. Epidiolex® / Epidyolex® is highly purified plant-derived CBD dissolved in a sesame seed oil base, used to treat seizures in Dravet syndrome, Lennox–Gastaut syndrome,and Tuberous sclerosis complex. Marketed by Jazz Pharmaceuticals, it is approved for clinical use in countries such as the USA, Canada, UK, Switzerland, EU, Australia, and New Zealand.

CBD in Clinical Trials. CBD remains active in early- to mid-stage studies (mostly Phase 1/2) across a variety of indications:

  • CNS/psychiatric: anxiety (strongest data), autism, sleep
  • Pain/inflammation: chronic pain, neuropathy
  • Dermatology: acne, rosacea, atopic dermatitis
  • Anti-infective: e.g., against MRSA

Innovative formulations highlight CBD’s potential, such as ART12.11 (Artelo’s CBD-tetramethylpyrazine cocrystal), which offers superior bioavailability and preclinical anxiety/depression benefits. Interestingly, tetramethylpyrazine (ligustrazine) is itself a bioactive plant natural product. Topical synthetic CBD candidates, such as BTX 1801 (and other formulations), have completed early clinical trials for anti-infective and anti-inflammatory activity, showing CBD’s versatility beyond CNS indications.

Conclusion. CBD transcends trends: it is clinically proven (Epidiolex), being investigated in diverse therapeutic areas, and is a key component of innovative formulations. Its story illustrates the regulatory and scientific challenges — and rewards — of natural product drug development. With the December 2025 U.S. Executive Order boosting medical marijuana and CBD research, accelerated progress can be expected.

#Cannabidiol #CBD #PharmaceuticalDevelopment #ClinicalTrials #NaturalProducts

The Role of Natural Product Chemistry in Drug Discovery Revisited

New review: “The Role of Natural Product Chemistry in Drug Discovery: Two Decades of Progress and Perspectives” just published in the Journal of Natural Products. The review is now online and comes with the raw tabulated data in XLS format (see Supporting Information).

More than 20 years ago, I wrote a review “The Role of Natural Product Chemistry in Drug Discovery” based on a talk given at the 43rd 2003 American Society of Pharmacognosy (ASP) meeting in New Brunswick, New Jersey. A great deal has changed since then.

In this new review, Jim La Clair and I identified and analysed 119 natural product–derived (NP-D) drugs, including 16 antibody–drug conjugates (ADCs), that received first global approval between January 2000 and September 2025. We also present six NP-D case studies and examine the representation of NP-D drugs among the top 200 brand-name medicines in 2006, 2015, and 2024.

Overall, we conclude that although NP-D drug sales have declined, agents such as dapagliflozin and empagliflozin demonstrate that blockbuster status remains achievable. While overall growth is modest, NPs continue to represent highly valuable active pharmaceutical ingredients (APIs). Importantly, substantial opportunities remain for drug-focused NP R&D, as many recently validated therapeutic targets are still underexplored for NP-D chemotypes.

New Review on Natural Product Artifacts and Chemical Reactivity

📢 Our new open-access review, “Extracting Value from Marine and Microbial Natural Product Artifacts and Chemical Reactivity,” is now published in Marine Drugs.

Together with Rob Capon, we explore how chemically reactive natural products—and the artifacts they generate—are far more than analytical nuisances. When properly recognised and understood, these transformations can expose untapped regions of chemical space and create new opportunities for drug discovery and marine bioproduct development.

🔎 What is covered:

  • Why artifact formation matters in natural product chemistry.
  • The mechanisms (solvents, heat, pH, light, oxidation) that trigger transformations.
  • Case studies showing how artifacts can provide novel insight and value including how identify “cryptic” natural products.
  • Practical recommendations for recognising, controlling, and leveraging chemical reactivity in natural products research.

💡 One particularly instructive example of chemical instability is varacin (2.66, see figure), a benzopentathiepin with cytotoxic activity first reported from a Fijian ascidian Lissoclinum vareau in 1991. This striking and unusual structure attracted considerable attention at the time! A subsequent study reported varacin together with three closely related analogues, varacins A–C (2.67–2.69), from a Polycitor sp. ascidian. Notably, varacin and varacin A were shown to equilibrate with elemental sulfur (S₈, 2.70) in solution (MeOH, CH₂Cl₂, or pyridine), underscoring their chemical lability.

Related sulfur-rich systems are known to undergo light-induced sulfur radical formation, leading to sulfur ring expansion and contraction via desulfurisation and intermolecular disproportionation (see the review for further examples such as the chetomins and epithiodiketopiperazines). In the case of varacin, recombination of sulfur radicals lead to the formation of the most thermodynamically stable sulfur allotrope, S₈, in equilibrium with varacin and varacin A.

#NaturalProducts #MarineDrugs #DrugDiscovery #Chemistry #ChemicalBiology #MarineBioproducts #Research

New review: “Natural product inspired antibiotics approved for human use – 1943 to 2025”

⚠️ Nature-inspired antibiotics have been the foundation of modern medicine for over a century, but their effectiveness is under threat from drug resistance.

❓How many nature-inspired antibiotics have been approved for human use? What are their structures? Who developed and launched them, in what countries, when and for what infectious diseases? How do they work and are they still being used today?

⏳In a review publish today in Natural Product Reports, co-authored with Rob Capon, we answer all these questions and more, providing details and charting trends from the first approval of penicillin G in 1943 to 2025, backed up by over 1,000 literature citations.

👀 Some eye-opening facts:

  • 217 natural product-inspired antibiotics have been used to treat human bacterial infections since 1943.
  • Around 151 are still in use with around 24 only in limited use.
  • 122 (81%) belong to just 5 classes: beta-lactams (71, 46%), macrolides (15, 9.9%), aminoglycosides (14, 9.3%), tetracyclines (12, 7.9%) and peptides (10, 6.6%).
  • Only 3 new natural product drug classes have been approved since 2000 (daptomycin, pleuromutilin and fidaxomicin)

⏰The clock is ticking…. to learn more, follow the link.

#Antibiotics #DrugDiscovery #NatureInspired #AMR #PharmaResearch #InfectiousDiseases #NaturalProducts #MedicalResearch #GlobalHealth #ScienceCommunication