A sample prompt of what you can find in this page
Prompt by jefharris

molecular prompts

very few results

6 months ago

Grey alien, though small in stature, is anything but simple. It navigates the cosmos with grace, moving through the stars with an otherworldly elegance, a creature shaped by the infinite darkness that surrounds it. Let’s begin by describing the Grey alien’s daily existence, its interactions with the stars, and the somewhat intimate aspects of its biology. Life in Space The Grey alien is a solitary being, with no immediate sense of community. It floats alone through the expanse of space, a creature adapted to survive in the vacuum without any need for conventional sustenance or shelter. The void is both home and playground to it, and it is not bound by the limitations that govern organic life on planets. Its body is perfectly evolved for this environment. The alien breathes in the form of a faint, almost imperceptible exchange of gases that occurs at a molecular level, a form of respiration suited for the low-pressure environment of space. It has no need for food, relying instead on the energies of nearby cosmic phenomena: the radiation of distant stars, the magnetic fields of planets, and the energy flows of cosmic dust. It absorbs these into its body, where they sustain it without requiring ingestion in the traditional sense. Though its existence is quiet, there is a profound intelligence behind its stillness. This alien has a deep understanding of the universe’s rhythms, navigating by the pulses of starlight and the waves of gravity that ripple through the cosmos. It has witnessed the birth and death of stars, the collisions of comets and asteroids, and the slow, steady drift of forgotten worlds. Time, to the Grey alien, is less linear and more like a vast, ongoing cycle—endless, stretching from one horizon to the next.

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18 days ago

Scientific infographic illustrating an AI-driven closed-loop framework for virtual molecular library construction, showing the adaptive cycle of “Representation – Generation – Prediction – Feedback”. Central theme: artificial intelligence empowering drug discovery and molecular design. The diagram is a circular workflow structure centered on the AI virtual molecular library system. Left module: Representation Learning, visualized with neural network icons, molecular graphs, protein structures, and amino acid sequence symbols, representing molecular and protein feature embeddings. Upper-right module: Molecular Generation, showing diffusion or VAE-like model generating diverse small molecules, arrows indicating exploration of chemical space, novelty, and synthesizability constraints. Lower-right module: Property Prediction, containing ADMET, activity, and selectivity metrics represented by radar charts or data panels, feeding results back to the representation module to close the loop. Bottom section: Evolution from virtual to drug-like molecular libraries, shown as a smooth gradient arrow with multi-objective optimization icons balancing drug-likeness and diversity. Right-side branch: Pretrained models for new target ligand design, divided into three submodules—small molecule pretraining, protein pretraining, and cross-modal pretraining (protein–ligand interaction)—depicting embedding fusion or contrastive learning in shared latent space. No human figures, only abstract scientific symbols and molecular visuals. Style: flat vector scientific infographic, modern and minimalistic, clear logical flow, smooth connections between modules. Color scheme: blue for AI and representation, orange-yellow for generation, green for prediction; background light gray or white. Typography: clean sans-serif labels, concise annotations. High resolution (≥600 dpi), suitable for journal publication, ultra-clear, balanced layout, professional academic tone.

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