LeroyDyer/SpydazWeb_AI_HumanAI_TextVision

Introductionn To Isomeric SMILES

• Developed by: LeroyDyer
• License: apache-2.0
• Finetuned from model : LeroyDyer/SpydazWeb_AI_HumanAI_RP

personally I believe that mistral did not did Thier own due diligence on these models !

Dataset "LeroyDyer/Tox21-V-SMILES_QA_to_Base64" (ChemistryVision/Tox21-V-SMILES)

### Question:
Content :
Isomeric SMILES refers to a specialized version of the Simplified Molecular Input Line Entry System (SMILES) that includes additional specifications for isotopes and stereochemistry. This allows for a more detailed representation of chemical structures, accommodating variations in molecular configuration and isotopic composition.
Key Features of Isomeric SMILES
1. Definition and Purpose
Isomeric SMILES is designed to represent molecules with specific isotopic labels and chiral configurations. This enables chemists to uniquely identify different isomers of a compound, which can have distinct chemical properties and behaviors.
2. Isotopic Specification
In isomeric SMILES, isotopes are indicated by placing the atomic mass number before the atomic symbol within square brackets. For example, carbon-13 methane is represented as [13CH4]. This notation clearly distinguishes it from the more common carbon-12 variant.
3. Chirality Representation
Chirality in molecules can be specified using symbols such as "@" and "@@". The "@" symbol indicates that the arrangement of substituents around a chiral center is counterclockwise, while "@@" indicates a clockwise arrangement. This local chirality representation allows for partial specifications, which can be particularly useful when not all information about the molecule is known24.
4. Unique Isomeric SMILES
A unique isomeric SMILES string, referred to as an "absolute SMILES", ensures that each molecule's representation is consistent and universally understood across different platforms and databases. This uniqueness is crucial for effective communication in chemical informatics.


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### Response:
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This model is being introduced to SMILES : As Well As associated tasks : used for chemical compounds etc .

method :

first is to train. the model to accept smiles identify the isometric smiles and the carnical smiles . the to add images with them smiles to associate the base64 image with the descriptions . then to perform tasks using the images and smiles . returning or identifying compounds and smiles and viruses which may also be described in this way : this provides and extension to the existing medical data and tasks internal to the model such as bio medical and stem sciences !

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.