Python tensor flow at cleansed lawn, exact to structural submission blockade at beta
Touring adaptive sort protocol in protein seems within best beta research arm goal at pathogen blockade.
Describe what you intend to do and how you'll do it in one sentence (required 250 Characters)
Bring Python competent tensor flow sort protocol to best blockade at disease progression.
Explain the idea (less than 2,000 characters)
With a set of 65 structural targets, in various pathogen specific, larger disease progression in primate, it is within build at Python defined sort protocol, for instance a gather of cleansed lawn, to refine and render coherent best targets for dose advance to new dose. (IND).
This method, can also be used to review current approved vaccine, to define which short indel signature composite at dose, has been most effective.
The nature of protein dualism, has been very carefully regarded at the structural targets,
65 mentioned, and a more rapid, more concise near future assay of active and coherent intercepts at blockade, and cleavage...are within define at most robust and exemplary chemistry.
Interestingly, a retrospective view of adept vaccine component, at clear cut dualism, triplet in protein component, becomes a comparative best end target to immune response.
That set of data, demonstrating the needed precision at blockade of typical pathogen evasion, escape to robust homo sapiens response via a host of T Cell, light chain, heavy chain reaction of pathogen insult.
Fundamental to the adaptive process of Allen Touring, via dualism, triplet, sets subsequent to that identity composite, can be compared to the actual gene causal to insult, disease progression. Fundamentally, Structural Protein Targets in Disease, regards blockade, and cleavage, as potential assignment to adequate dose in a large insult spectrum. Thus, a refinement to adequate molecular toolbar.
Which part(s) of the world does this idea target?
Geographic Focus (less than 250 Characters)
Primate with commensal pathogen habitat.
Who are your end users and how well do you know them? (750 characters)
IRD end users, NCBI blast, cobalt data sets, IDSA journal readers, Cell journal,
Pan American Society of Virology
All resource, typical to adequate molecular toolbar and assay. also, V Cell 7.
Idea Proposal Stage (Select 1)
Prototype: We have done some small tests or experiments with prospective users to continue developing the idea.
How many months are required for the project idea? (140 characters)
I would estimate a release of robust sort in perhaps 18 months.
Organization Name (less than 140 characters)
*Business ID *Washington State, US 603-369-653
Type of Submitter
We are a For-Profit Startup or Startup Social Enterprise
Mission statement includes research support.
Organization Location (less than 140 Characters)
Walla Walla, WA
What is the current scale of your organization’s work?
National (expansive reach within one country)
Tell us more about your organization/company (1-2 sentences)
At a two year summary, the research arm goals have regarded target development in viral, bacterial and oncogene latency in primate at blockade and cleavage. Innovation at V Cell 7, with coherent reaction define, observed dualism at available translation to DNA, expanded the chemistry of dose builds.
The now available thrust, coherent to ML sort at Python, expands the initial targets to large data, typical to cloud resource protocol.
Who will work alongside your organization in the project idea? (750 characters)
Dr. Michael Hope, Seattle. *
Publication to PLOS, neglected pathogens,
How many people are on your team?
Tell us more about you and your team
Past invited presenter, Sanger
CME credits, Duke, UCLA, J. Hopkins
Recent remote student attendance, University of Peking
Past member, US society of Medical Entomology