HIV Mutation Detail Information

Virus Mutation HIV Mutation T97A


Basic Characteristics of Mutations
Mutation Site T97A
Mutation Site Sentence The molecular docking scores obtained for various mutation models like 3 individual accessory mutations (L74M, T97A and G163R), major mutation (Q148H, N155H) and also in combination of accessory (L74M, T97A and G163R), accessory and major mutations (L74M, T97A, G163R and Q148H), (L74M, T97A, G163R and N155H) were compared with wild type strain.
Mutation Level Amino acid level
Mutation Type Nonsynonymous substitution
Gene/Protein/Region IN
Standardized Encoding Gene gag-pol:155348
Genotype/Subtype HIV-1
Viral Reference -
Functional Impact and Mechanisms
Disease HIV Infections    
Immune -
Target Gene -
Clinical and Epidemiological Correlations
Clinical Information Y
Treatment INSTIs
Location India
Literature Information
PMID 28149058
Title Effect of HIV-1 Subtype C integrase mutations implied using molecular modeling and docking data
Author Sachithanandham J,Konda Reddy K,Solomon K,David S,Kumar Singh S,Vadhini Ramalingam V,Alexander Pulimood S,Cherian Abraham O,Rupali P,Sridharan G,Kannangai R
Journal Bioinformation
Journal Info 2016 Jun 15;12(3):221-230
Abstract The degree of sequence variation in HIV-1 integrase genes among infected patients and their impact on clinical response to Anti retroviral therapy (ART) is of interest. Therefore, we collected plasma samples from 161 HIV-1 infected individuals for subsequent integrase gene amplification (1087 bp). Thus, 102 complete integrase gene sequences identified as HIV-1 subtype-C was assembled. This sequence data was further used for sequence analysis and multiple sequence alignment (MSA) to assess position specific frequency of mutations within pol gene among infected individuals. We also used biophysical geometric optimization technique based molecular modeling and docking (Schrodinger suite) methods to infer differential function caused by position specific sequence mutations towards improved inhibitor selection. We thus identified accessory mutations (usually reduce susceptibility) leading to the resistance of some known integrase inhibitors in 14% of sequences in this data set. The Stanford HIV-1 drug resistance database provided complementary information on integrase resistance mutations to deduce molecular basis for such observation. Modeling and docking analysis show reduced binding by mutants for known compounds. The predicted binding values further reduced for models with combination of mutations among subtype C clinical strains. Thus, the molecular basis implied for the consequence of mutations in different variants of integrase genes of HIV-1 subtype C clinical strains from South India is reported. This data finds utility in the design, modification and development of a representative yet an improved inhibitor for HIV-1 integrase.
Sequence Data KF870715-KF870774;KF870776-KF870797;KF870801;KF870805-KF870813;KF870816;KF870822-KF870826;KF870829-KF870832
Mutation Information
Note
Basic Characteristics of Mutations
  • Mutation Site: The specific location in a gene or protein sequence where a change occurs.
  • Mutation Level: The level at which a mutation occurs, including the nucleotide or amino acid level.
  • Mutation Type: The nature of the mutation, such as missense mutation, nonsense mutation, synonymous mutation, etc.
  • Gene/Protein/Region: Refers to the specific region of the virus where the mutation occurs. Including viral genes, viral proteins, or a specific viral genome region. If the article does not specifically indicate the relationship between the mutation and its correspondence, the main
  • Gene/Protein/Region studied in the article is marked.
  • Genotype/Subtype: Refers to the viral genotype or subtype where the mutation occurs. If the article does not specifically indicate the relationship between the mutation and its correspondence, the main Genotype/Subtype studied in the article is marked.
  • Viral Reference: Refers to the standard virus strain used to compare and analyze viral sequences.
Functional Impact and Mechanisms
  • Disease: An abnormal physiological state with specific symptoms and signs caused by viral infection.
  • Immune: The article focuses on the study of mutations and immune.
  • Target Gene: Host genes that viral mutations may affect.
Clinical and Epidemiological Correlations
  • Clinical Information: The study is a clinical or epidemiological study and provides basic information about the population.
  • Treatment: The study mentioned a certain treatment method, such as drug resistance caused by mutations. If the study does not specifically indicate the relationship between mutations and their correspondence treatment, the main treatment studied in the article is marked.
  • Location: The source of the research data.
Literature Information
  • Sequence Data: The study provides the data accession number.