Excerpt: John E Walker (Factor-dependent archaeal transcription termination) will probably explain the molecular mechanism of how ATP is made, which may be important to know for those who have learned how important ATP is by playing “Cytosis.” The creation of ATP can be linked to the creation of RNA and the prevention of messenger RNA degradation in the context of the Virus-mediated archaeal hecatomb in the deep seafloor.
…when you have an influenza infection, you can rest assured that it is because your body is fighting hard. It’s combating the spread of the virus in your lungs and killing infected cells.
Why suffer needlessly or die prematurely. See: Cytosis: A Cell Biology Board Game
A board game taking place inside a human cell! Players compete to build enzymes, hormones and receptors and fend off attacking Viruses! (2 to 5 Players, Ages 10 & up, Plays in 50 to 75 mins)
Download the “Science Behind the Game” to learn how food energy-dependent alternative splicings of pre-mRNA protect all cell types, or see Alternative splicing and the evolution of phenotypic novelty.
Link the alternative splicings to species-specific behaviors via the physiology of reproduction in From Fertilization to Adult Sexual Behavior and anything else I have published or presented during the past two decades.
All behavior is energy-dependent. The energy comes from sunlight. Quantized energy as information from sunlight is linked to healthy longevity via its anti-entropic virucidal effect.
Scientists have known for decades that broad-spectrum UVC light, which has a wavelength of between 200 to 400 nanometers, or nm), is highly effective at killing bacteria and viruses by destroying the molecular bonds that hold their DNA together.
For comparison to vaccinations:
A key advantage of the UVC based approach, which is in clear contrast to vaccination approaches, is that UVC light is likely to be effective against all airborne microbes. For example, while there will almost certainly be variations in UVC inactivation efficiency as different influenza strains appear, they are unlikely to be large7,10. Likewise, as multi-drug-resistant variants of bacteria emerge, their UVC inactivation efficiencies are also unlikely to change greatly9.
In the context of vaccinations:
The major antigenic changes of the influenza virus are primarily caused by a single amino acid near the receptor binding site.
Clearly, vaccinations may not protect you and prevention via use of UV light is desirable.
When you learn how UV light protects you at the level of particle physics, you will understand the horrors of neo-Darwinian theory and big bang cosmology .
The link from quantum physics to quantum chemistry was reported last month. Modern diversification of the amino acid repertoire driven by oxygen.
Schrödinger at 75, The Future of Biology is scheduled for September 2018
John E Walker (Factor-dependent archaeal transcription termination) will probably explain the molecular mechanism of how ATP is made, which may be important to know for those who have learned how important ATP is by playing “Cytosis.” The creation of ATP can be linked to the creation of RNA and the prevention of messenger RNA degradation in the context of the Virus-mediated archaeal hecatomb in the deep seafloor.
People who have played “Cytosis” can predict what will happen at the Schrödinger at 75 conference. They will jump ahead of most academics if they play “Subatomic” and link particle physics to all biophysically constrained biodiversity.
The fun factor is important to most people. They don’t care about supercoiled DNA or the virus-driven degradation of messenger RNA. But other scientists are having fun watching the creator of the genious games teach facts to theorists. We are especially pleased about his help in teaching the facts about energy-dependent cell biology to anyone who wants to have fun, prevent or survive the flu, or to become a serious scientist.
Alternatively, play the Mutation-driven evolution game (available only as an outdated 2013 textbook).
But remember: Nobody wants to belong to the party of losers. One of the best strategies in such a case is evidently an interpretation of the change as a gradual accumulation of knowledge while their work has always been at the cutting edge. — Kalevi Kull
Simply put, you could be dead by the time pseudoscientists start to tell the truth. For example, this is the truth:
Lander just admitted that their assumptions may have made many serious scientists wrong about every aspect of energy-dependent life on Earth.
…one reason we can’t admit we have the facts wrong is that it’s too painful to our self-conception as smart, right-thinking people—or to our political tribal identity.
In the past year alone, mathematicians have pulled papers when they’ve learned their proofs don’t hold and economists have retracted work after finding they’d misclassified their data. The Harvard stem-cell biologist Douglas Melton had a hit 2013 paper that got cited hundreds of times—but when colleagues couldn’t replicate the finding, he yanked it.
They discount the fact that any claims that have been placed into the context of neo-Darwinian theories have been invalidated first by Schrödinger in “What is Life? (1944) and since then by all serious scientists who have linked the sun’s anti-entropic virucidal energy from the physiology of reproduction to biophysically constrained viral latency and all biodiversity.
Discovery of gene regulatory networks (GRNs) is crucial for gaining insights into biological processes involved in development or disease. Although time-resolved, high-throughput data are increasingly available, many algorithms do not account for temporal delays underlying regulatory systems—such as protein synthesis and posttranslational modifications—leading to inaccurate network inference. To overcome this challenge, we introduce Sliding Window Inference for Network Generation (SWING), which uniquely accounts for temporal information. We validate SWING in both in silico and in vitro experimental systems, highlighting improved performance in identifying time-delayed edges and illuminating network structure. SWING performance is robust to user-defined parameters, enabling identification of regulatory mechanisms from time-series gene expression data.
SWING puts together a more complete picture of the cause-and-effect interactions happening among genes by incorporating time delays and sliding windows. Rather than only looking at the individual perturbations and responses, SWING uses time-resolved, high-throughput data to integrate the time it takes for those responses to occur.
Researchers will continue to scramble in attempts to put their findings into the context of what has already been presented in: Olfaction Warps Visual Time Perception